CN112367679B - Method and device for evaluating number of accessible users - Google Patents

Abstract

The invention provides a method and a device for evaluating the number of accessible users, relates to the technical field of communication, and solves the problem of estimating service bearing capacity (the number of accessible users) of a base station bearing a plurality of different services in multiple scenes. Simulating according to a scene map, equipment types and access network equipment parameters, and determining simulation point duty ratios in different SINR intervals; determining actual throughput of different SINR intervals according to the simulated point duty ratio in the different SINR intervals and rated throughput in the different SINR intervals corresponding to the equipment type; determining the actual service duty ratio of each service in each SINR interval according to the rated service duty ratio of each service; and determining the rated number of users of the access network equipment to be built, which can access the preset service, according to the duty ratio of the simulation points in different SINR intervals, the actual throughput of the different SINR intervals and the actual service duty ratio of each service in each SINR interval.

Description

A method and device for evaluating the number of accessible users

Technical Field

The present invention relates to the field of communication technology, and in particular to a method and device for evaluating the number of accessible users.

Background Art

At present, the fifth-generation mobile communication technology (5th-Generation, 5G) communication system is being fully covered and has three major functions or services, namely ultra-large bandwidth (eMBB (Enhanced Mobile Broadband)), low-latency and high-reliability service (uRLLC (Ultra-reliable and Low Latency Communications)) and multi-access (mMTC (massive Machine Type of Communication)). Among them, eMBB uses large bandwidth and MU-MIMO (Multi-User Multiple-Input Multiple-Output) technology to ensure and enhance the performance of communication services. It is generally used to carry AR (Augmented Reality), VR (Virtual Reality), high-definition video, high-definition live broadcast and other services; uRLLC is used to ensure the communication quality of services with high latency requirements, such as remote surgery and refined control; mMTC is generated due to the capability requirements of massive user access. It focuses on solving the problem that traditional mobile communications cannot well support the Internet of Things and vertical industry applications. It is mainly aimed at application scenarios such as smart cities, environmental monitoring, smart homes, forest fire prevention, etc. with sensing and data collection as the goal. Such scenarios have the characteristics of small data packets, low power consumption, and massive connections.

In summary, the characteristics of these three types of services are different, and the three are not completely separated. Some services require multiple characteristics. Therefore, in view of the development of 5G equipment and services, it is impossible to simply ignore the service type to estimate the number of users that each base station can allow access to different services in order to complete network resource planning and configuration. Therefore, there is an urgent need for a method that can estimate the service carrying capacity (number of accessible users) of base stations that carry multiple different services in multiple scenarios.

Summary of the invention

The present invention provides a method and device for evaluating the number of accessible users, which solves the problem of how to estimate the service carrying capacity (the number of accessible users) of a base station carrying a variety of different services in multiple scenarios.

In order to achieve the above object, the present invention adopts the following technical scheme:

In the first aspect, an embodiment of the present invention provides a method for evaluating the number of accessible users, comprising: obtaining a scenario map and configuration parameters of a proposed access network device, as well as service parameters and a rated service proportion of each service in at least one service to be accessed by the proposed access network device; wherein the configuration parameters include device type and access network device parameters; performing simulation according to the scenario map, device type and access network device parameters to determine the proportion of simulation points in different SINR intervals; determining the actual throughput in different SINR intervals according to the proportion of simulation points in different SINR intervals and the rated throughput in different SINR intervals corresponding to the device type; determining the actual service proportion of each service in each SINR interval according to the rated service proportion of each service; determining the rated number of users of the proposed access network device that can access a preset service according to the actual throughput in different SINR intervals and the actual service proportion of each service in each SINR interval; wherein the preset service is a service in at least one service.

Based on the above technical solution, in view of the situation where the proposed base station intends to deploy multiple different categories of services to be deployed, the embodiment of the present application will first obtain the scenario map and configuration parameters of the proposed access network equipment, as well as the service parameters and rated service proportion of each service in at least one service that the proposed access network equipment intends to access. Then, simulation is performed according to the scenario map, equipment type and access network equipment parameters to determine the proportion of simulation points in different SINR intervals. Further, based on the proportion of simulation points in different SINR intervals and the rated throughput in different SINR intervals corresponding to the equipment type, the actual throughput in different SINR intervals is determined; based on the rated service proportion of each service, the actual service proportion of each service in each SINR interval is determined. Finally, based on the actual throughput in different SINR intervals and the actual service proportion of each service in each SINR interval, the rated number of users that the proposed access network equipment can access to the preset service is determined.

In addition, when the proposed access network device is a proposed base station, the proposed base station can determine the rated number of users that can access the preset service of the proposed base station according to the evaluation method of the number of accessible users provided by the embodiment of the present invention. Therefore, the operator can estimate the carrying capacity of the proposed base station according to the rated number of users of each preset service that can be accessed by the proposed base station, thereby reasonably realizing the service carrying capacity (number of accessible users) estimation of the base station carrying multiple different services in multiple scenarios.

In a second aspect, the present invention provides an evaluation device for the number of accessible users, comprising: an acquisition unit and a processing unit.

Specifically, the acquisition unit is used to acquire the scenario map and configuration parameters of the proposed access network device, as well as the service parameters and rated service proportion of each service in at least one service to be accessed by the proposed access network device. The configuration parameters include device type and access network device parameters.

The above-mentioned processing unit is used to perform simulation according to the scenario map obtained by the acquisition unit, the device type obtained by the acquisition unit, and the access network device parameters obtained by the acquisition unit, and determine the proportion of simulation points in different SINR intervals. The processing unit is also used to determine the actual throughput in different SINR intervals according to the proportion of simulation points in different SINR intervals and the rated throughput in different SINR intervals corresponding to the device type obtained by the acquisition unit. The processing unit is also used to determine the actual service proportion of each service in each SINR interval according to the rated service proportion of each service obtained by the acquisition unit. The processing unit is also used to determine the rated number of users that can access the preset service of the proposed access network device according to the actual throughput of different SINR intervals and the actual service proportion of each service in each SINR interval. Among them, the preset service is a service in at least one service.

In an operative manner, the processing unit is further configured to perform typical scenario simulation according to typical scenario simulation parameters corresponding to the device type acquired by the acquisition unit, and determine the second SINR and throughput collected at at least one typical location. The typical scenario simulation data is obtained by simulating a typical scenario under the first mobile communication technology, and the typical scenario includes at least one of a dense urban area, a suburb, and an open area. The processing unit is further configured to determine the rated throughput within different SINR intervals corresponding to the device type according to the second SINR and throughput collected at at least one typical location.

In one feasible method, the actual business ratio satisfies the following formula:

P＝ ^PG + ^PM + ^PB ;

Among them, P represents the actual business proportion, ^PG represents the business proportion corresponding to the first interval, ^PM represents the business proportion corresponding to the second interval, ^PB represents the business proportion corresponding to the third interval, the first interval is an interval in which SINR is greater than the first threshold, the second interval is an interval in which SINR is less than or equal to the first threshold and greater than the second threshold, and the third interval is an interval in which SINR is less than or equal to the second threshold.

In an implementable manner, the processing unit is specifically used to determine the number of users that can access the preset service in each SINR interval according to the proportion of simulation points in different SINR intervals, the corresponding throughput in different SINR intervals, and the actual service proportion of each service in each SINR interval. The processing unit is specifically used to determine the rated number of users that can access the preset service of the proposed access network device according to the number of users that can access the preset service in each SINR interval.

In an implementable manner, the throughput includes uplink throughput and downlink throughput. In this case, the above-mentioned processing unit is specifically used to determine the first number of users that can be accessed by the preset service in each SINR interval according to the proportion of simulation points in different SINR intervals, the corresponding uplink throughput in different SINR intervals, and the actual service proportion of each service in each SINR interval. The above-mentioned processing unit is specifically used to determine the second number of users that can be accessed by the preset service in each SINR interval according to the proportion of simulation points in different SINR intervals, the corresponding downlink throughput in different SINR intervals, and the actual service proportion of each service in each SINR interval. The above-mentioned processing unit is specifically used to determine the rated number of users that can access the preset service of the proposed access network device according to the first number of users and the second number of users.

In one practicable manner, the first number of users satisfies the following formula:

表示第一区间可接入的第一用户数，

表示第二区间可接入的第一用户数，

表示第三区间可接入的第一用户数，

表示指定业务在第一区间内的业务占比，

表示第i个业务在第一区间内的业务占比，n表示拟建接入网设备拟接入的业务总数，

表示第一区间内对应的上行吞吐量，

表示第二区间内对应的上行吞吐量，

表示第三区间内对应的上行吞吐量，指定业务为至少一个业务中的业务，第一区间为SINR大于第一阈值的区间，第二区间为SINR小于或等于第一阈值，并且大于第二阈值的区间，第三区间为SINR小于或等于第二阈值的区间，i和n均为大于0的整数，且i∈[1，n]。in,

Indicates the number of first users that can access the first interval,

Indicates the number of first users that can access the second interval,

Indicates the number of first users that can access the third interval,

Indicates the business proportion of the specified business in the first interval.

represents the proportion of the i-th service in the first interval, n represents the total number of services to be accessed by the proposed access network equipment,

represents the uplink throughput corresponding to the first interval,

represents the corresponding uplink throughput in the second interval,

It represents the uplink throughput corresponding to the third interval, the designated service is a service in at least one service, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, the third interval is an interval in which the SINR is less than or equal to the second threshold, i and n are both integers greater than 0, and i∈[1,n].

In an implementable manner, the second number of users satisfies the following formula:

表示第一区间可接入的第二用户数，

表示第二区间可接入的第二用户数，

表示第三区间可接入的第二用户数，

表示指定业务在第一区间内的业务占比，

表示第i个业务在第一区间内的业务占比，n表示拟建接入网设备拟接入的业务总数，

表示第一区间内对应的下行吞吐量，

表示第二区间内对应的下行吞吐量，

表示第三区间内对应的下行吞吐量，指定业务为至少一个业务中的业务，第一区间为SINR大于第一阈值的区间，第二区间为SINR小于或等于第一阈值，并且大于第二阈值的区间，第三区间为SINR小于或等于第二阈值的区间，i和n均为大于0的整数，且i∈[1，n]。in,

Indicates the number of second users that can access the first interval,

Indicates the number of second users that can access the second interval,

Indicates the number of second users that can access the third interval,

Indicates the business proportion of the specified business in the first interval.

represents the proportion of the i-th service in the first interval, n represents the total number of services to be accessed by the proposed access network equipment,

represents the corresponding downlink throughput in the first interval,

represents the corresponding downlink throughput in the second interval,

It represents the downlink throughput corresponding to the third interval, the designated service is a service in at least one service, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, the third interval is an interval in which the SINR is less than or equal to the second threshold, i and n are both integers greater than 0, and i∈[1,n].

In one practicable manner, the rated number of users satisfies the following formula:

N＝ _NG + _NM + _NB ;

表示第一区间可接入的第一用户数，

表示第二区间可接入的第一用户数，

表示第三区间可接入的第一用户数，

表示第一区间可接入的第二用户数，

表示第二区间可接入的第二用户数，

表示第三区间可接入的第二用户数，第一区间为SINR大于第一阈值的区间，第二区间为SINR小于或等于第一阈值，并且大于第二阈值的区间，第三区间为SINR小于或等于第二阈值的区间。Wherein, N represents the rated number of users, _NG represents the number of users that the proposed access network device can access in the first interval, _MN represents the number of users that the proposed access network device can access in the second interval, and _NB represents the number of users that the proposed access network device can access in the third interval.

Indicates the number of first users that can access the first interval,

Indicates the number of first users that can access the second interval,

Indicates the number of first users that can access the third interval,

Indicates the number of second users that can access the first interval,

Indicates the number of second users that can access the second interval,

Indicates the number of second users that can be accessed in the third interval, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, and the third interval is an interval in which the SINR is less than or equal to the second threshold.

In a third aspect, the present invention provides an evaluation device for the number of accessible users, comprising: a communication interface, a processor, a memory, and a bus; the memory is used to store computer-executable instructions, and the processor and the memory are connected via the bus. When the evaluation device for the number of accessible users is running, the processor executes the computer-executable instructions stored in the memory, so that the evaluation device for the number of accessible users performs the evaluation method for the number of accessible users provided in the first aspect above.

In a fourth aspect, the present invention provides a computer-readable storage medium, comprising instructions. When the instructions are executed on a computer, the computer executes the method for evaluating the number of accessible users provided in the first aspect.

In a fifth aspect, the present invention provides a computer program product. When the computer program product runs on a computer, the computer executes the method for evaluating the number of accessible users as described in the design mode of the first aspect.

It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a first computer-readable storage medium. The first computer-readable storage medium may be packaged together with a processor of the evaluation device for the number of accessible users, or may be packaged separately from the processor of the evaluation device for the number of accessible users, and the present invention is not limited thereto.

The description of the second, third, fourth and fifth aspects of the present invention can refer to the detailed description of the first aspect; and the beneficial effects of the description of the second, third, fourth and fifth aspects can refer to the beneficial effect analysis of the first aspect, which will not be repeated here.

In the present invention, the name of the above-mentioned evaluation device for the number of accessible users does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear with other names. As long as the functions of each device or functional module are similar to those of the present invention, they belong to the scope of the claims of the present invention and their equivalent technologies.

These and other aspects of the present invention will become more apparent from the following description.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

FIG1 is a simplified schematic diagram of a system architecture for applying a method for evaluating the number of accessible users provided by an embodiment of the present invention;

FIG2 is a flow chart of a method for evaluating the number of accessible users according to an embodiment of the present invention;

FIG3 is a second flow chart of a method for evaluating the number of accessible users provided by an embodiment of the present invention;

FIG4 is a schematic diagram of one of the correlations of a method for evaluating the number of accessible users provided by an embodiment of the present invention;

FIG5 is a second schematic diagram of the relevance of a method for evaluating the number of accessible users provided by an embodiment of the present invention;

FIG6 is a schematic diagram of SINR-downlink throughput when the correlation is 0.3 according to an evaluation method for the number of accessible users provided by an embodiment of the present invention;

FIG7 is a third flow chart of a method for evaluating the number of accessible users provided by an embodiment of the present invention;

FIG8 is a fourth flow chart of a method for evaluating the number of accessible users provided by an embodiment of the present invention;

FIG9 is a schematic diagram of a structure of a device for evaluating the number of accessible users provided by an embodiment of the present invention;

FIG10 is a second structural diagram of an apparatus for evaluating the number of accessible users provided by an embodiment of the present invention;

FIG. 11 is a schematic diagram of the structure of a computer program product of a method for evaluating the number of accessible users provided in an embodiment of the present invention.

DETAILED DESCRIPTION

The embodiments of the present invention are described below in conjunction with the accompanying drawings.

The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

In order to clearly describe the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, words such as "first" and "second" are used to distinguish between identical items or similar items with basically the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and execution order.

At present, due to the different characteristics of various 5G services, when estimating the service carrying capacity of the proposed 5G base stations before deployment, it is not possible to simply ignore the service type and estimate the number of users that can be allowed to access each base station for different services. Therefore, there is an urgent need for a method that can estimate the service carrying capacity (number of accessible users) of cells carrying multiple different services in multiple scenarios.

In view of the above problems, an embodiment of the present application provides a method for evaluating the number of accessible users, which is applied to an evaluation device for the number of accessible users. The device may be a server of the operator to which the proposed base station belongs, or any other feasible device with processing and computing capabilities.

FIG1 is a simplified schematic diagram of a system architecture to which an embodiment of the present invention can be applied, as shown in FIG1 , the system architecture may include: a proposed access network device 1, a terminal 2, and a server 3. The terminal 2 accesses services through the proposed access network device 1, and the server 3 is used to obtain a scene map and configuration parameters of the proposed access network device 1, and a guaranteed bandwidth of a preset service that the terminal 2 can initiate.

The evaluation device for the number of accessible users in the embodiment of the present invention can be the server 3 shown in Figure 1, or it can be a part of the device in the server 3. For example, a chip system in the server 3. The chip system is used to support the server 3 to implement the functions involved in the first aspect and any possible implementation method thereof. Such as: obtaining the scene map and configuration parameters of the proposed access network device 1, and the guaranteed bandwidth of the preset service that the terminal 2 can initiate. The chip system includes a chip, and may also include other discrete devices or circuit structures.

In the embodiment of the present invention, the access network device to be built may be a base station or base station controller of wireless communication, etc. In the embodiment of the present invention, the base station may be a base station (base transceiver station, BTS) in the global system for mobile communication (global system for mobile communication, GSM), code division multiple access (code division multiple access, CDMA), a base station (node B, NB) in wideband code division multiple access (wideband code division multiple access, WCDMA), a base station (evolved Node B, eNB) in long term evolution (Long Term Evolution, LTE), an eNB in the internet of things (IoT) or narrow band-internet of things (NB-IoT), a base station in a future 5G mobile communication network or a future evolved public land mobile network (public land mobile network, PLMN), and the embodiment of the present invention does not impose any limitation on this.

The terminal is used to provide voice and/or data connectivity services to users. The terminal may have different names, such as user equipment (UE), access terminal, terminal unit, terminal station, mobile station, mobile station, remote station, remote terminal, mobile device, wireless communication device, vehicle user equipment, terminal agent or terminal device, etc. Optionally, the terminal may be various handheld devices, vehicle-mounted devices, wearable devices, and computers with communication functions, and the embodiments of the present invention do not impose any restrictions on this. For example, the handheld device may be a smart phone. The vehicle-mounted device may be a vehicle-mounted navigation system. The wearable device may be a smart bracelet. The computer may be a personal digital assistant (PDA), a tablet computer, and a laptop computer.

In combination with the communication system shown in FIG. 1 , the evaluation device for the number of accessible users is taken as the server 3 and the proposed access network device is taken as the proposed base station as an example to introduce the evaluation method for the number of accessible users provided by the embodiment of the present invention.

As shown in FIG2 , the method for evaluating the number of accessible users includes the following steps S11 to S15:

S11, the server 3 obtains the scenario map and configuration parameters of the proposed base station, as well as the service parameters and rated service proportion of each service in at least one service to be accessed by the proposed base station. The configuration parameters include device type and access network device parameters.

In one achievable manner, the server 3 determines whether the number of accessible users of the proposed base station can be evaluated by analyzing the rated service proportion of each service in at least one service to be accessed by the proposed base station.

Specifically, by collecting the proportion of different services in the proposed construction area (i.e., the coverage area of the proposed base station), and by clarifying the proportion of typical services in the proposed construction area, we can select the services with the largest proportion for analysis, and abandon the services with a smaller proportion, such as the TOP3 services as the effective service proportion. Among them, the service proportion shown in Table 1 is the actual service proportion extracted according to user needs, or the service proportion shown in Table 2 is the service proportion of typical locations (good points, midpoints, and bad points). The two service proportions are as follows:

Table 1 Actual business share

Business Category A B C Business proportion P _A P _B P _C

Table 2 Business proportion of typical locations

Business Category A B C Proportion of good business P ^G P ^G P ^G Business share of midpoint P ^M P ^M P ^M Proportion of almost P ^B P ^B P ^B

It should be noted that in actual applications, if the business proportion of a typical location cannot be provided, the actual business proportion can be used to represent the business proportion of a typical location (such as a good point, a midpoint, and a poor point). Among them, the business proportion of any business in the first interval (also called a good point), the business proportion of the second interval (also called a midpoint), and the business proportion of the third interval (also called a poor point) and the actual business proportion of any business satisfy the following formula:

P＝ ^PG + ^PM + ^PB .

When P is greater than or equal to a preset threshold, the determination server 3 may evaluate the number of accessible users of the proposed base station. Exemplarily, the preset threshold may be 0.6.

In an achievable manner, the access network equipment parameters include one or more of the following: simulation scenario, inter-site distance (ISD), number of sites (total number of surrounding base stations), base station antenna height, channel model, subcarrier spacing, service model, number of users per sector, user distribution, indoor and outdoor user distribution (different penetration loss ratios), user mobility, frequency band, system bandwidth, number of physical resource blocks (PRBs), frame structure, evolved NodeB (eNB) transmit power, number of antenna arrays, antenna array radiation model, number of transceiver units, base station noise factor, antenna downtilt angle, UE antenna height, minimum distance between base station and user, number of UE receiving antennas, UE noise factor, number of UE transmitting antennas, UE transmit power, downlink single-user multiple-input multiple-output antenna system (DLSIN) One or more of the following: the maximum number of streams of a downlink multi-user multiple-input multiple-output antenna system (full name in English: Downlink Multi-user-Multiple-Input Multiple-Output, abbreviated as: DL MU-MIMO), the maximum number of streams of an uplink single-user multiple-input multiple-output antenna system (full name in English: Uplink Single-user-Multiple-InputMultiple-Output, abbreviated as: UL SU-MIMO), the maximum number of streams of an uplink multi-user multiple-input multiple-output antenna system (full name in English: Uplink Multi--user-Multiple-Input Multiple-Output, abbreviated as: UL MU-MIMO), scheduling, propagation model and switching margin.

S12. Server 3 performs simulation according to the scene map, device type and access network device parameters to determine the proportion of simulation points in different signal to interference plus noise ratio (SINR) intervals.

In one achievable manner, the device types include 6-transmitter and receiver (TR for short), 8TR, 16TR, 32TR and 64TR.

In one achievable manner, the scene map includes a three-dimensional (English full name: 3Dimensions, abbreviated as: 3D) map and a planning map.

It should be noted that, in actual applications, the server 3 performs simulation according to the scene map, device type and access network device parameters, and determines the proportion of simulation points in different SINR intervals, including:

1. Scene Reproduction Method

Server 3 obtains a 3D map of specified accuracy (such as a 3D map with an accuracy of 2 meters × 2 meters), imports the 3D map into simulation software (such as Atoll), configures the device type and access network device parameters, performs user point simulation, and then determines the SINR of at least one simulation point.

2. Scenario Hypothesis

This method is applicable to scenarios where no base station construction is carried out. When only the information of buildings and other structures (such as planning maps) is known, it is necessary to calculate the proportion of different types of penetration losses, as shown in Table 3:

Table 3

Penetration loss type Penetration loss ratio Outdoor Low indoor wear Indoor high wear

Then, based on the penetration loss ratio, device type and access network device parameters, server 3 uses system simulation software (such as MATLAB, etc.) to perform simulation, and performs user point simulation, and then determines the SINR of at least one simulation point. Among them, the penetration loss ratio is determined by scenario construction based on different penetration loss models defined in the 38.901 standard.

Then, according to the SINR of at least one simulation point, the proportion of simulation points in different SINR intervals is determined.

Exemplarily, different SINR intervals may be (-∞, 4.5] (4.5, 12.5], and (12.5, +∞), and the proportions of simulation points in different SINR intervals are:

Among them, _PG represents the proportion of the total number of simulation points with SINR greater than 12.5dB in N _all , _PM represents the proportion of the total number of simulation points with SINR less than or equal to 12.5dB and SINR greater than 4.5dB in N _all , _PB represents the proportion of the total number of simulation points with SINR less than 4.5dB in N _all , and N _all represents the total number of simulation points when server 3 simulates according to the scene map, device type and access network equipment parameters.

S13. The server 3 determines the actual throughputs in different SINR intervals according to the proportions of simulation points in different SINR intervals and the rated throughputs in different SINR intervals corresponding to the device types.

In one achievable manner, the actual throughput of different SINR intervals satisfies the following formula:

表示第一区间对应的实际上线吞吐量，

表示第一区间对应的实际下线吞吐量，

表示第二区间对应的实际上线吞吐量，

表示第二区间对应的实际下线吞吐量，

表示第三区间对应的实际上线吞吐量，

彖示第三区间对应的实际下线吞吐量，P_G表示第一区间对应的仿真点占比，P_M表示第二区间对应的仿真点占比，P_B表示第三区间对应的仿真点占比，

表示设备类型为tpye的拟建基站在第一区间的额定上行吞吐量，

表示设备类型为tpye的拟建基站在第一区间的额定下行吞吐量，

表示设备类型为tpye的拟建基站在第二区间的额定上行吞吐量，

表示设备类型为tpye的拟建基站在第二区间的额定下行吞吐量，

表示设备类型为tpye的拟建基站在第三区间的额定上行吞吐量，

表示设备类型为tpye的拟建基站在第三区间的额定下行吞吐量，type可以为6 TR、8TR、16TR、32TR和64TR中的任一项。in,

represents the actual online throughput corresponding to the first interval,

Indicates the actual offline throughput corresponding to the first interval.

represents the actual online throughput corresponding to the second interval,

Indicates the actual offline throughput corresponding to the second interval.

It indicates the actual online throughput corresponding to the third interval.

_PG represents the actual offline throughput corresponding to the third interval, _PM represents the proportion of simulation points corresponding to the first interval, _PB represents the proportion of simulation points corresponding to the second interval,

Indicates the rated uplink throughput of the proposed base station of device type tpye in the first interval.

Indicates the rated downlink throughput of the proposed base station of device type tpye in the first interval.

Indicates the rated uplink throughput of the proposed base station of device type tpye in the second interval.

Indicates the rated downlink throughput of the proposed base station of device type tpye in the second interval.

Indicates the rated uplink throughput of the proposed base station of device type tpye in the third interval.

Indicates the rated downlink throughput of the proposed base station with equipment type tpye in the third interval. type can be any one of 6TR, 8TR, 16TR, 32TR and 64TR.

S14. The server 3 determines the actual service proportion of each service in each SINR interval according to the rated service proportion of each service.

In one feasible method, the actual business ratio satisfies the following formula:

P＝ ^PG + ^PM + ^PB ;

Among them, P represents the actual business proportion, ^PG represents the business proportion corresponding to the first interval, ^PM represents the business proportion corresponding to the second interval, ^PB represents the business proportion corresponding to the third interval, the first interval is an interval in which SINR is greater than the first threshold, the second interval is an interval in which SINR is less than or equal to the first threshold and greater than the second threshold, and the third interval is an interval in which SINR is less than or equal to the second threshold.

S15, the server 3 determines the rated number of users of the proposed base station that can access the preset service according to the proportion of simulation points in different SINR intervals, the actual throughput of different SINR intervals and the actual service proportion of each service in each SINR interval. The preset service is a service in at least one service.

Based on the above technical solution, in view of the situation where the proposed base station intends to deploy multiple different categories of services to be deployed, the embodiment of the present application will first obtain the scenario map and configuration parameters of the proposed base station, as well as the service parameters and rated service proportion of each service in at least one service that the proposed base station intends to access. Then, simulation is performed according to the scenario map, equipment type and access network equipment parameters to determine the proportion of simulation points in different SINR intervals. Further, based on the proportion of simulation points in different SINR intervals and the rated throughput in different SINR intervals corresponding to the equipment type, the actual throughput of different SINR intervals is determined; based on the rated service proportion of each service, the actual service proportion of each service in each SINR interval is determined. Finally, based on the actual throughput of different SINR intervals and the actual service proportion of each service in each SINR interval, the rated number of users that can access the preset service of the proposed base station is determined.

In an implementable manner, in combination with FIG. 2 , as shown in FIG. 3 , the method for evaluating the number of accessible users provided by the embodiment of the present invention further includes S16 and S17 .

S16. The server 3 performs typical scenario simulation according to typical scenario simulation parameters corresponding to the device type, and determines a second SINR and throughput collected at at least one typical location. The typical scenario simulation data is obtained by simulating a typical scenario under the first mobile communication technology, and the typical scenario includes at least one of a dense urban area, a suburban area, and an open area.

Specifically, the typical scenario simulation parameters are the second SINR and throughput collected at different sampling points in a laboratory environment. Exemplarily, the throughput may be an average throughput.

It should be noted that in actual applications, when a single terminal or multiple terminals are placed at a single sampling point, the corresponding SINR and throughput data will change. Therefore, in order to more accurately calculate the SINR and average throughput of a single sampling point, this article takes 4 terminals placed at each sampling point as an example for explanation.

当基站支持的最大下行链路次数为N时，而UE支持最大下行链路次数为n时，此时该基站满载时支持的UE数量为

First, select different sampling points. Then, place 4 or more (including 4) terminals at each sampling point, collect the SINR collected by each terminal, and collect the uplink throughput and downlink throughput of the User Datagram Protocol (UDP) service. The reason for placing 4 UEs here is that one UE supports up to 4 downlinks, and each base station supports 16 downlinks at the same time. Therefore, when placing 4 UEs, the throughput of the base station when fully loaded can be simulated. Of course, in actual applications, when the maximum number of uplinks supported by the base station is N, and the maximum number of uplinks supported by the UE is n, the number of UEs supported by the base station when fully loaded is

When the maximum number of downlinks supported by the base station is N, and the maximum number of downlinks supported by the UE is n, the number of UEs supported by the base station when fully loaded is

Exemplarily, assuming that the selected sampling points are 6 points where SINR is 22, SINR is 18, SINR is 9, SINR is 6, SINR is 0 and SINR is -2, the recorded data is shown in Table 4.

Table 4

Among them, point o in Figure 4 is the antenna of the base station corresponding to the cell, point a is UE-a, point b is UE-b, point c is UE-c and point d is UE-d. Among them, point a, point b, point c and point d are respectively located on the boundaries of the same concentric circle o, and the SINRs of each UE located on the same concentric circle are the same. Specifically, the correlation between each UE can be placed according to the actual required correlation; illustratively, the correlation between UE-a and UE-b is used as an example for explanation, and the calculation method of the correlation between other UEs is the same as the calculation method of the correlation between UE-a and UE-b, which will not be repeated here.

Specifically, the correlation is equal to the angle formed by the lines connecting any two UEs and the base station antenna respectively; such as: the angle θ formed by the line connecting point a and the center o of the circle (indicating the location of the base station antenna) in the horizontal direction and the line connecting point b and the center o of the circle in the horizontal direction; or, the angle θ formed by the line connecting point d and the center o of the circle (indicating the location of the base station antenna) in the horizontal direction and the line connecting point b and the center o of the circle in the horizontal direction; or, as shown in FIG5 , the angle θ formed by the line connecting point a and the center o of the circle in the vertical direction and the line connecting point b and the center o of the circle in the horizontal direction.

Specifically, Mode 1, Mode 2, Mode 3, Mode 4, Mode 5 and Mode 6 all indicate that four UEs are simultaneously placed at positions corresponding to the same SINR.

By measuring the throughput corresponding to SINR 22, SINR 18, SINR 9, SINR 6, SINR 0 and SINR -2 at each correlation, the SINR-average throughput curve at the same correlation is fitted. As shown in Figure 6 (the horizontal axis is SINR and the vertical axis is the average throughput), the average throughput curve of SINR when the correlation is 0.3 is given; where the average throughput of each point is equal to the average throughput of each UE at the same SINR.

Finally, SINR-average throughput curves with correlations of 0.3, 0.5, and 0.8 are obtained, as shown in the following formula:

T _0.3SINR (SINR)=f ₁ (SINR);

T _0.5SINR (SINR)=f ₂ (SINR);

T _0.8SINR (SINR)=f ₃ (SINR).

Based on the formula of a single correlation, the average throughput under a single SINR is calculated:

其中，n₁为选择的相关度的个数；由于本发明仅选择了0.3、0.5和0.8三个相关度，因此n₁等于3。

Wherein, _n1 is the number of selected correlations; since the present invention only selects three correlations of 0.3, 0.5 and 0.8, _n1 is equal to 3.

For example, the following is described with SINR of 22, SINR of 18, SINR of 9, SINR of 6, SINR of 0 and SINR of -2, and correlations of 0.3, 0.5 and 0.8:

Average throughput at SINR 22

The calculation method of the average throughput when the SINR is 18, SINR is 9, SINR is 6, SINR is 0, and SINR is -2 is the same as the calculation method of the average throughput when the SINR is 22, which is not repeated here.

For different SINR-average throughput values, the average throughput _{T_SINR_gap} within a certain SINR interval is calculated:

其中，N_gap为SINR区间的中包含的典型点的总个数。

Wherein, N_gap is the total number of typical points contained in the SINR interval.

Exemplarily, as shown in Table 5, the SINR intervals are (-∞, 4.5], (4.5, 12.5], and (12.5, +∞) as examples for explanation, where the SINR interval is (-∞, 4.5], points with SINRs of -2, -1, 0, 1, 2, 3, and 4 are selected as typical points, respectively, and N_gap is equal to 10; when the SINR interval is [4.5, 12.5], points with SINRs of 5, 6, 7, 8, 9, 10, 11, and 12 are selected as typical points, and N_gap is equal to 8; when the SINR interval is [12.5, 22.5], points with SINRs of 13, 14, 15, 16, 17, 18, 19, 20, 21, and 22 are selected as typical points, and N_gap is equal to 10.

Table 5

According to the data recorded in Table 5, the average throughput of different intervals at the same SINR position can be calculated respectively.

S17: The server 3 determines the rated throughput in different SINR intervals corresponding to the device type according to the second SINR and throughput collected at at least one typical location.

Specifically, the rated throughput of the proposed base station of any equipment type at each typical location is the average throughput of the proposed base station of any equipment type at each typical location.

For example, taking the device types of 4TR, 32TR and 64TR, and the typical locations of good point, middle point and poor point as examples, the rated throughputs in different SINR intervals corresponding to different device types are shown in Table 6.

Table 6

In one practicable manner, as shown in FIG. 7 in combination with FIG. 2 , the above S15 may be specifically implemented through the following S150 and S151 .

S150. Server 3 determines the number of users that can access the preset service in each SINR interval according to the proportion of simulation points in different SINR intervals, the corresponding throughput in different SINR intervals, and the actual service proportion of each service in each SINR interval.

In one achievable manner, the throughput includes uplink throughput and downlink throughput. In this case, in combination with FIG. 7 , as shown in FIG. 8 , the above S150 may be specifically implemented through the following S1500 and S1501 , and the above S151 may be specifically implemented through the following S1510 .

S1500, server 3 determines the number of first users that can be accessed by the preset service in each SINR interval according to the proportion of simulation points in different SINR intervals, the corresponding uplink throughput in different SINR intervals, and the actual service proportion of each service in each SINR interval.

In one practicable manner, the first number of users satisfies the following formula:

表示第一区间可接入的第一用户数，

表示第二区间可接入的第一用户数，

表示第三区间可接入的第一用户数，

表示指定业务在第一区间内的业务占比，

表示第i个业务在第一区间内的业务占比，n表示拟建基站拟接入的业务总数，

表示第一区间内对应的上行吞吐量，

表示第二区间内对应的上行吞吐量，

表示第三区间内对应的上行吞吐量，指定业务为至少一个业务中的业务，第一区间为SINR大于第一阈值的区间，第二区间为SINR小于或等于第一阈值，并且大于第二阈值的区间，第三区间为SINR小于或等于第二阈值的区间，i和n均为大于0的整数，且i∈[1，n]。in,

Indicates the number of first users that can access the first interval,

Indicates the number of first users that can access the second interval,

Indicates the number of first users that can access the third interval,

Indicates the business proportion of the specified business in the first interval.

represents the proportion of the i-th service in the first interval, n represents the total number of services to be accessed by the proposed base station,

represents the uplink throughput corresponding to the first interval,

represents the corresponding uplink throughput in the second interval,

It represents the uplink throughput corresponding to the third interval, the designated service is a service in at least one service, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, the third interval is an interval in which the SINR is less than or equal to the second threshold, i and n are both integers greater than 0, and i∈[1,n].

S1501. Server 3 determines the number of second users that can be accessed by the preset service in each SINR interval according to the proportion of simulation points in different SINR intervals, the corresponding downlink throughput in different SINR intervals, and the actual service proportion of each service in each SINR interval.

In an implementable manner, the second number of users satisfies the following formula:

表示第一区间可接入的第二用户数，

表示第二区间可接入的第二用户数，

表示第三区间可接入的第二用户数，

表示指定业务在第一区间内的业务占比，

表示第i个业务在第一区间内的业务占比，n表示拟建基站拟接入的业务总数，

表示第一区间内对应的下行吞吐量，

表示第二区间内对应的下行吞吐量，

表示第三区间内对应的下行吞吐量，指定业务为至少一个业务中的业务，第一区间为SINR大于第一阈值的区间，第二区间为SINR小于或等于第一阈值，并且大于第二阈值的区间，第三区间为SINR小于或等于第二阈值的区间，i和n均为大于0的整数，且i∈[1，n]。in,

Indicates the number of second users that can access the first interval,

Indicates the number of second users that can access the second interval,

Indicates the number of second users that can access the third interval,

Indicates the business proportion of the specified business in the first interval.

represents the proportion of the i-th service in the first interval, n represents the total number of services to be accessed by the proposed base station,

represents the corresponding downlink throughput in the first interval,

represents the corresponding downlink throughput in the second interval,

It represents the downlink throughput corresponding to the third interval, the designated service is a service in at least one service, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, the third interval is an interval in which the SINR is less than or equal to the second threshold, i and n are both integers greater than 0, and i∈[1,n].

S151. The server 3 determines the rated number of users that can access the preset service of the proposed base station according to the number of users that can access the preset service in each SINR interval.

S1510. The server 3 determines the rated number of users of the proposed base station that can access the preset service according to the first number of users and the second number of users.

In one practicable manner, the rated number of users satisfies the following formula:

N＝ _NG + _NM + _NB ;

表示第一区间可接入的第一用户数，

表示第二区间可接入的第一用户数，

表示第三区间可接入的第一用户数，

表示第一区间可接入的第二用户数，

表示第二区间可接入的第二用户数，

表示第三区间可接入的第二用户数，第一区间为SINR大于第一阈值的区间，第二区间为SINR小于或等于第一阈值，并且大于第二阈值的区间，第三区间为SINR小于或等于第二阈值的区间。Wherein, N represents the rated number of users, _NG represents the number of users that the proposed base station can access in the first interval, _NM represents the number of users that the proposed base station can access in the second interval, and _NB represents the number of users that the proposed base station can access in the third interval.

Indicates the number of first users that can access the first interval,

Indicates the number of first users that can access the second interval,

Indicates the number of first users that can access the third interval,

Indicates the number of second users that can access the first interval,

Indicates the number of second users that can access the second interval,

Indicates the number of second users that can be accessed in the third interval, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, and the third interval is an interval in which the SINR is less than or equal to the second threshold.

The above mainly introduces the solution provided by the embodiment of the present invention from the perspective of the method. In order to achieve the above functions, it includes hardware structures and/or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present invention can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

The embodiment of the present invention can divide the functional modules of the evaluation device for the number of accessible users according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present invention is schematic and is only a logical function division. There may be other division methods in actual implementation.

As shown in FIG9 , a schematic diagram of the structure of an evaluation device 10 for the number of accessible users provided in an embodiment of the present invention is provided. The evaluation device 10 for the number of accessible users is used to obtain the scenario map and configuration parameters of the proposed access network device, as well as the service parameters and rated service proportion of each service in at least one service to be accessed by the proposed access network device. Simulation is performed according to the scenario map, the device type and the access network device parameters to determine the proportion of simulation points in different SINR intervals. According to the proportion of simulation points in different SINR intervals and the rated throughput in different SINR intervals corresponding to the device type, the actual throughput in different SINR intervals is determined. According to the rated service proportion of each service, the actual service proportion of each service in each SINR interval is determined. According to the actual throughput in different SINR intervals and the actual service proportion of each service in each SINR interval, the rated number of users that the proposed access network device can access the preset service is determined. The evaluation device 10 for the number of accessible users may include an acquisition unit 101 and a processing unit 102.

The acquisition unit 101 is used to acquire the scenario map and configuration parameters of the proposed access network device, and the service parameters and rated service proportion of each service in at least one service to be accessed by the proposed access network device. For example, in conjunction with FIG2 , the acquisition unit 101 can be used to execute S11.

The processing unit 102 is used to simulate according to the scene map obtained by the acquisition unit 101, the device type obtained by the acquisition unit 101, and the access network device parameters obtained by the acquisition unit 101, and determine the proportion of simulation points in different SINR intervals. The processing unit 102 is also used to determine the actual throughput of different SINR intervals according to the proportion of simulation points in different SINR intervals and the rated throughput in different SINR intervals corresponding to the device type obtained by the acquisition unit 101. The processing unit 102 is also used to determine the actual service proportion of each service in each SINR interval according to the rated service proportion of each service obtained by the acquisition unit 101. The processing unit 102 is also used to determine the rated number of users that can access the preset service of the proposed access network device according to the actual throughput of different SINR intervals and the actual service proportion of each service in each SINR interval. For example, in conjunction with Figure 2, the processing unit 102 can be used to execute S12, S13, S14 and S15. In conjunction with Figure 3, the processing unit 102 can be used to execute S16 and S17. In conjunction with Fig. 7 , the processing unit 102 may be used to execute S150 and S151. In conjunction with Fig. 8 , the processing unit 102 may be used to execute S1500, S1501, and S1510.

Among them, all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, and its role will not be repeated here.

Of course, the evaluation device 10 for the number of accessible users provided in the embodiment of the present invention includes but is not limited to the above modules, for example, the evaluation device 10 for the number of accessible users may further include a storage unit 103. The storage unit 103 may be used to store the program code of the evaluation device 10 for the number of accessible users, and may also be used to store data generated by the evaluation device 10 for the number of accessible users during operation, such as data in a write request, etc.

Figure 10 is a structural schematic diagram of an evaluation device 10 for the number of accessible users provided in an embodiment of the present invention. As shown in Figure 10, the evaluation device 10 for the number of accessible users may include: at least one processor 51, a memory 52, a communication interface 53 and a communication bus 54.

The following is a detailed introduction of the various components of the evaluation device 10 for the number of accessible users in conjunction with FIG. 10 :

The processor 51 is the control center of the evaluation device 10 for the number of accessible users, and can be a processor or a general term for multiple processing elements. For example, the processor 51 is a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiment of the present invention, such as one or more DSPs, or one or more field programmable gate arrays (FPGA).

In a specific implementation, as an embodiment, the processor 51 may include one or more CPUs, such as CPU0 and CPU1 shown in FIG10. Also, as an embodiment, the evaluation device 10 for the number of accessible users may include multiple processors, such as the processor 51 and the processor 55 shown in FIG10. Each of these processors may be a single-core processor (Single-CPU) or a multi-core processor (Multi-CPU). The processor here may refer to one or more devices, circuits, and/or processing cores for processing data (such as computer program instructions).

The memory 52 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 52 may exist independently and be connected to the processor 51 via a communication bus 54. The memory 52 may also be integrated with the processor 51.

In a specific implementation, the memory 52 is used to store the data of the present invention and execute the software program of the present invention. The processor 51 can execute various functions of the air conditioner by running or executing the software program stored in the memory 52 and calling the data stored in the memory 52.

The communication interface 53 uses any transceiver-like device for communicating with other devices or communication networks, such as a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a terminal, a cloud, etc. The communication interface 53 may include a receiving unit to implement a receiving function, and a sending unit to implement a sending function.

The communication bus 54 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, FIG10 only uses one thick line, but does not mean that there is only one bus or one type of bus.

As an example, in combination with Figure 9, the function implemented by the acquisition unit 101 in the evaluation device 10 for the number of accessible users is the same as the function of the communication interface 53 in Figure 10, the function implemented by the processing unit 102 is the same as the function of the processor 51 in Figure 10, and the function implemented by the storage unit 103 is the same as the function of the memory 52 in Figure 10.

Another embodiment of the present invention further provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a computer, the computer executes the method shown in the above method embodiment.

In some embodiments, the disclosed methods may be implemented as computer program instructions encoded in a machine-readable format on a computer-readable storage medium or on other non-transitory media or articles of manufacture.

FIG. 11 schematically shows a conceptual partial view of a computer program product provided by an embodiment of the present invention, wherein the computer program product includes a computer program for executing a computer process on a computing device.

In one embodiment, the computer program product is provided using a signal bearing medium 410. The signal bearing medium 410 may include one or more program instructions that, when executed by one or more processors, may provide the functionality or portions of functionality described above with respect to FIG. 2 . Thus, for example, with reference to the embodiment shown in FIG. 2 , one or more features of S11-S15 may be undertaken by one or more instructions associated with the signal bearing medium 410. In addition, the program instructions in FIG. 11 also describe example instructions.

In some examples, signal bearing medium 410 may include computer readable medium 411, such as, but not limited to, a hard drive, a compact disk (CD), a digital video disk (DVD), a digital tape, a memory, a read-only memory (ROM), or a random access memory (RAM), and the like.

In some implementations, signal bearing medium 410 may include computer recordable medium 412 such as, but not limited to, memory, read/write (R/W) CD, R/W DVD, and the like.

In some implementations, signal bearing medium 410 may include communication medium 413 such as, but not limited to, digital and/or analog communication media (eg, fiber optic cables, waveguides, wired communication links, wireless communication links, etc.).

The signal bearing medium 410 may be communicated by a wireless form of communication medium 413 (eg, a wireless communication medium conforming to the IEEE 802.41 standard or other transmission protocol). The one or more program instructions may be, for example, computer executable instructions or logic implemented instructions.

In some examples, a write data device such as described with respect to FIG. 2 may be configured to provide various operations, functions, or actions in response to one or more program instructions via computer-readable medium 411 , computer-recordable medium 412 , and/or communication medium 413 .

Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, ROM, RAM, disk or optical disk and other media that can store program codes.

The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (10)

1. A method for evaluating the number of accessible users, comprising: Obtaining a scenario map and configuration parameters of a proposed access network device, as well as service parameters and a rated service ratio of each service in at least one service to be accessed by the proposed access network device; wherein the configuration parameters include a device type and access network device parameters of the access network device; Perform simulation according to the scenario map, the device type and the access network device parameters to determine the proportion of simulation points in different SINR intervals; Determining actual throughputs of the different SINR intervals according to the proportions of simulation points in the different SINR intervals and the rated throughputs in the different SINR intervals corresponding to the device types; According to the rated service proportion of each service, the actual service proportion of each service in each SINR interval is determined; wherein the actual service proportion satisfies the following formula: P＝ ^PG + ^PM + ^PB ; Wherein, P represents the actual service proportion, ^PG represents the service proportion corresponding to the first interval, ^PM represents the service proportion corresponding to the second interval, ^PB represents the service proportion corresponding to the third interval, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, and the third interval is an interval in which the SINR is less than or equal to the second threshold; According to the proportion of simulation points in the different SINR intervals, the actual throughput of the different SINR intervals and the actual service proportion of each service in each SINR interval, the rated number of users of the proposed access network device that can access the preset service is determined; wherein the preset service is a service among the at least one service. 2. The method for evaluating the number of accessible users according to claim 1, characterized in that before determining the actual throughput of the different SINR intervals according to the proportion of simulation points in the different SINR intervals and the rated throughput in the different SINR intervals corresponding to the device type, the method for evaluating the number of accessible users further comprises: Performing typical scenario simulation according to typical scenario simulation parameters corresponding to the device type, and determining a second SINR and throughput collected at at least one typical location; wherein the typical scenario simulation data is obtained by simulating a typical scenario under the first mobile communication technology, and the typical scenario includes at least one of a dense urban area, a suburb, and an open area; The rated throughput in the different SINR intervals corresponding to the device type is determined according to the second SINR and the throughput collected at the at least one typical location. 3. The method for evaluating the number of accessible users according to claim 1, characterized in that the rated number of users that can access the preset service of the proposed access network device is determined according to the proportion of simulation points in the different SINR intervals, the actual throughput of the different SINR intervals, and the actual service proportion of each service in each SINR interval, including: Determine the number of users that can be accessed by the preset service in each SINR interval according to the proportion of simulation points in the different SINR intervals, the corresponding throughput in the different SINR intervals, and the actual service proportion of each service in each SINR interval; According to the number of users that can access the preset service in each SINR interval, the rated number of users that can access the preset service of the proposed access network device is determined. 4. The method for evaluating the number of accessible users according to claim 3, wherein the throughput includes an uplink throughput and a downlink throughput; The determining, according to the proportion of simulation points in the different SINR intervals, the corresponding throughputs in the different SINR intervals, and the actual service proportion of each service in each SINR interval, the number of accessible users of the preset service in each SINR interval includes: Determine the number of first users accessible to the preset service in each SINR interval according to the proportion of simulation points in the different SINR intervals, the corresponding uplink throughput in the different SINR intervals, and the actual service proportion of each service in each SINR interval; Determine the number of second users accessible to the preset service in each SINR interval according to the proportion of simulation points in the different SINR intervals, the corresponding downlink throughput in the different SINR intervals, and the actual service proportion of each service in each SINR interval; The determining, according to the number of users that can access the preset service in each SINR interval, the rated number of users that can access the preset service of the proposed access network device includes: The rated number of users of the proposed access network device that can access the preset service is determined according to the first number of users and the second number of users. 5. The method for evaluating the number of accessible users according to claim 4, wherein the first number of users satisfies the following formula:

in,

Indicates the number of first users that can access the first interval,

Indicates the number of first users that can access the second interval,

Indicates the number of first users that can access the third interval,

Indicates the proportion of the specified business in the first interval,

represents the proportion of the i-th service in the first interval, n represents the total number of services to be accessed by the proposed access network device,

represents the uplink throughput corresponding to the first interval,

represents the uplink throughput corresponding to the second interval,

represents the uplink throughput corresponding to the third interval, the designated service is a service among the at least one service, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, the third interval is an interval in which the SINR is less than or equal to the second threshold, i and n are both integers greater than 0, and i∈[1,n]. 6. The method for evaluating the number of accessible users according to claim 4, wherein the second number of users satisfies the following formula:

in,

Indicates the number of second users that can access the first interval,

Indicates the number of second users that can access the second interval,

Indicates the number of second users that can access the third interval,

Indicates the proportion of the specified business in the first interval,

represents the proportion of the i-th service in the first interval, n represents the total number of services to be accessed by the proposed access network device,

represents the corresponding downlink throughput in the first interval,

represents the corresponding downlink throughput in the second interval,

represents the downlink throughput corresponding to the third interval, the designated service is a service among the at least one service, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, the third interval is an interval in which the SINR is less than or equal to the second threshold, i and n are both integers greater than 0, and i∈[1,n]. 7. The method for evaluating the number of accessible users according to claim 4, wherein the rated number of users satisfies the following formula: N＝ _NG + _NM + _NB ;

Wherein, N represents the rated number of users, _NG represents the number of users that the proposed access network device can access in the first interval, _MN represents the number of users that the proposed access network device can access in the second interval, _NB represents the number of users that the proposed access network device can access in the third interval,

represents the number of first users accessible to the first interval,

represents the number of first users accessible to the second interval,

represents the number of first users accessible to the third interval,

represents the number of second users accessible to the first interval,

represents the number of second users accessible to the second interval,

Indicates the number of second users that can access the third interval, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, and the third interval is an interval in which the SINR is less than or equal to the second threshold. 8. A device for evaluating the number of accessible users, comprising: An acquisition unit, configured to acquire a scenario map and configuration parameters of a proposed access network device, and service parameters and a rated service ratio of each service in at least one service to be accessed by the proposed access network device; wherein the configuration parameters include a device type and access network device parameters of the access network device; A processing unit, configured to perform simulation according to the scenario map acquired by the acquisition unit, the device type acquired by the acquisition unit, and the access network device parameter acquired by the acquisition unit, and determine the proportion of simulation points in different SINR intervals; The processing unit is further configured to determine the actual throughput of the different SINR intervals according to the proportion of simulation points in the different SINR intervals and the rated throughput in the different SINR intervals corresponding to the device type acquired by the acquisition unit; The processing unit is further configured to determine the actual service proportion of each service in each SINR interval according to the rated service proportion of each service acquired by the acquisition unit; wherein the actual service proportion satisfies the following formula: P＝ ^PG + ^PM + ^PB ; Wherein, P represents the actual service proportion, ^PG represents the service proportion corresponding to the first interval, ^PM represents the service proportion corresponding to the second interval, ^PB represents the service proportion corresponding to the third interval, the first interval is an interval in which the SINR is greater than the first threshold, the second interval is an interval in which the SINR is less than or equal to the first threshold and greater than the second threshold, and the third interval is an interval in which the SINR is less than or equal to the second threshold; The processing unit is also used to determine the rated number of users of the proposed access network device that can access the preset service based on the actual throughput of the different SINR intervals and the actual service proportion of each service in each SINR interval; wherein the preset service is a service among the at least one service. 9. A computer-readable storage medium, characterized in that it comprises instructions, which, when executed on a computer, enable the computer to execute the method for evaluating the number of accessible users as described in any one of claims 1 to 7. 10. A device for evaluating the number of accessible users, comprising: a communication interface, a processor, a memory, and a bus; The memory is used to store computer-executable instructions, and the processor is connected to the memory via the bus; When the device for evaluating the number of accessible users is running, the processor executes the computer-executable instructions stored in the memory, so that the device for evaluating the number of accessible users executes the method for evaluating the number of accessible users as described in any one of claims 1 to 7.

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