CN112333754B - Method and device for estimating number of accessible users - Google Patents

Abstract

Embodiments of the present application provide a method and device for estimating the number of accessible users, which relate to the field of communications technology and can estimate the number of accessible users when a base station to be deployed carries corresponding services based on service guarantee requirements. The method includes: obtaining equipment parameters and scene information of a base station to be deployed, and service parameters of a target service to be deployed; performing planning simulation on the base station to be deployed according to the scene information and equipment parameters, so as to obtain at least one of the coverage areas of the base station to be deployed Simulate the first signal parameter of the location point; determine the proportion of reserved resources of the base station to be deployed when carrying the target service according to the business parameters; according to the first signal parameter of at least one simulation location point, the proportion of reserved resources and typical scene simulation data , determine the number of accessible users when the base station to be deployed carries the target service; the typical scenario simulation data includes the second signal parameter and throughput of at least one typical location point.

Description

A method and device for estimating 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 estimating 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, although the three major types of 5G services have different characteristics, they are also interrelated. Therefore, according to the business development situation, we cannot simply ignore the service type to estimate the service carrying capacity (number of accessible users) of the base station to be deployed when deploying a certain service. The planning and configuration of network resources have been completed. Therefore, there is an urgent need for an estimation scheme for the number of accessible users of the base station to be deployed to carry a certain service in a certain scenario.

Summary of the invention

The embodiments of the present invention provide a method and device for estimating accessible users, which can estimate the number of accessible users of a base station to be deployed when carrying corresponding services based on service assurance requirements.

To achieve the above object, the embodiments of the present invention adopt the following technical solutions:

In a first aspect, an estimation method that can take users into account is provided, comprising: obtaining equipment parameters of a base station to be deployed, scenario information of a coverage area of the base station to be deployed, and service parameters of a target service to be deployed; the scenario information comprises a scenario map and a scenario category; the service parameters comprise: uplink guaranteed bandwidth, downlink guaranteed bandwidth and latency; planning simulation is performed on the base station to be deployed according to the scenario information and equipment parameters to obtain first signal parameters of at least one simulation location point in the coverage area of the base station to be deployed; according to the service parameters, a reserved resource ratio of the base station to be deployed when carrying the target service is determined; the reserved resource ratio is the ratio of network resources other than those provided to the target service to the total network resources of the base station to be deployed; according to the first signal parameters of at least one simulation location point, the reserved resource ratio and typical scenario simulation data, the number of accessible users of the base station to be deployed when carrying the target service is determined; the typical scenario simulation data comprises a second signal parameter and throughput of at least one typical location point.

Based on the above scheme, in the case where the base station to be deployed intends to deploy the target service, the embodiment of the present application will first obtain the equipment parameters, scenario information and service parameters (uplink guaranteed bandwidth, downlink guaranteed bandwidth and latency, etc.) of the base station to be deployed. Among them, the service parameters directly affect the service guarantee degree of the target service, so in the present application, the service parameters are used to determine the proportion of reserved resources of the base station to be deployed when carrying the target service. Using the aforementioned acquired equipment parameters and scenario information, the first signal parameters of at least one simulated location point (corresponding to the actual location) in the coverage area of the base station to be deployed can be obtained to reflect the signal lightness and quality at the same location in the coverage area; finally, based on all the first signal parameters, the proportion of reserved resources and the second signal parameters and throughput of the typical location points that can be obtained in advance from the laboratory, the number of accessible users (estimated results) of the base station to be deployed when carrying the target service is determined. Because in the technical solution provided in the embodiment of the present application, when estimating the number of accessible users, the service parameters that affect the service assurance requirements of the target service are fully considered, and at the same time, the signal quality of the user terminals at different locations in the coverage area of the base station to be deployed is considered through simulation. Therefore, the final determination of the number of accessible users based on the combination of these two and typical scenario simulation data is reasonable, achieving the purpose of estimating the number of accessible users when the base station to be deployed carries the corresponding service in a certain scenario (determined by the scenario information) based on the service assurance requirements. Furthermore, in combination with the method for estimating the number of accessible users provided in the embodiment of the present application, it is also possible to make a certain estimate of the number of accessible users when the base station to be deployed needs to deploy multiple services.

In the second aspect, an estimation device that can be taken into account by users is provided, including: an acquisition module, a simulation module, a calculation module and a processing module. Among them, the acquisition module is used to obtain the equipment parameters of the base station to be deployed, the scenario information of the coverage area of the base station to be deployed, and the service parameters of the target service to be deployed; the scenario information includes the scenario map and the scenario category; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and delay; the simulation module is used to perform planning simulation on the base station to be deployed according to the scenario information and equipment parameters obtained by the acquisition module to obtain the first signal parameters of at least one simulation location point in the coverage area of the base station to be deployed; the calculation module is used to determine the reserved resource ratio of the base station to be deployed when carrying the target service according to the service parameters obtained by the acquisition module; the reserved resource ratio is the ratio of network resources other than those provided to the target service to the total network resources of the base station to be deployed; the processing module is used to determine the number of accessible users of the base station to be deployed when carrying the target service according to the first signal parameters of at least one simulation location point simulated by the simulation module, the reserved resource ratio calculated by the calculation module and the typical scenario simulation data; the typical scenario simulation data includes the second signal parameters and throughput of at least one typical location point.

In a third aspect, a device for estimating the number of accessible users is provided, comprising a memory, a processor, a bus and a communication interface; the memory is used to store computer-executable instructions, and the processor is connected to the memory via a bus; when the device for estimating the number of accessible users is running, the processor executes the computer-executable instructions stored in the memory, so that the device for estimating the number of accessible users executes the method for estimating the number of accessible users provided in the first aspect.

In a fourth aspect, a computer-readable storage medium is provided, comprising computer execution instructions, which, when executed on a computer, enable the computer to execute the method for estimating the number of accessible users provided in the first aspect.

It should be noted that the above instructions may be stored in whole or in part on a computer-readable storage medium, wherein the computer-readable storage medium may be packaged together with the processor of the access network device or may be packaged separately, which is not limited in the present invention.

According to a fifth aspect, a computer program product is provided. When the computer program product is run on a computer, the computer executes the method for estimating the number of accessible users provided in the first aspect.

It can be understood that the solutions of the second aspect to the fifth aspect provided above are all used to execute the corresponding methods provided in the first aspect above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

It should be understood that in the present application, the name of the above-mentioned device for estimating 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. In addition, the above general description and the detailed description below are only exemplary and explanatory, and cannot limit the present application.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present application 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 schematic diagram of the structure of a device for estimating the number of accessible users provided in an embodiment of the present application;

FIG2 is a flow chart of a method for estimating the number of accessible users provided in an embodiment of the present application;

FIG3 is a second flow chart of a method for estimating the number of accessible users provided in an embodiment of the present application;

FIG4 is a flow chart of a method for estimating the number of accessible users provided in an embodiment of the present application;

FIG5 is a schematic diagram of a correlation fitting curve provided in an embodiment of the present application;

FIG6 is a schematic diagram 1 of a relevance of a terminal provided in an embodiment of the present application;

FIG7 is a second schematic diagram of a relevance of a terminal provided in an embodiment of the present application;

FIG8 is a fourth flow chart of a method for estimating the number of accessible users provided in an embodiment of the present application;

FIG9 is a flowchart diagram 5 of a method for estimating the number of accessible users provided in an embodiment of the present application;

FIG. 10 is a schematic diagram of the structure of another device for estimating the number of accessible users provided in an embodiment of the present application.

DETAILED DESCRIPTION

The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. 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 making creative work are within the scope of protection of the present invention.

It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

It should also be noted that in the embodiments of the present application, the terms "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be pointed out that when the distinction between them is not emphasized, the meanings they intend to express are consistent.

In order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with basically the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. are not limiting the quantity and execution order.

At present, due to the different characteristics of various 5G services, when estimating the service carrying capacity of 5G base stations to be deployed before deployment, it is not possible to simply ignore the service type and estimate the number of users that each base station can allow access to different services. Therefore, there is an urgent need for an estimation solution for the number of users that can access a certain service carried by a base station to be deployed in a certain scenario.

In view of the above problems, an embodiment of the present application provides a method for estimating the number of accessible users, which can estimate the number of accessible users of a base station to be deployed when carrying corresponding services based on service assurance requirements. The method is applied to an estimating device for the number of accessible users. The estimating device can be a server of an operator to which the base station to be deployed belongs, or any other feasible device with processing and computing capabilities.

Figure 1 is a schematic diagram of the structure of an estimating device for the number of accessible users provided in an embodiment of the present application. As shown in Figure 1, the estimating device may include: a memory 11, a processor 12, a bus 13 and a communication interface 14; the memory 11 is used to store computer-executable instructions, and the processor 12 is connected to the memory 11 through the bus 13; when the estimating device for the number of accessible users is running, the processor 12 executes the computer-executable instructions stored in the memory 11, so that the estimating device for the number of accessible users performs the estimating method for the number of accessible users provided in the above embodiment.

The processor 12 is the control center of the device for estimating the number of accessible users, which may be a central processing unit (CPU), a microprocessing unit, or one or more integrated circuits for controlling the execution of the program of the embodiment of the present invention. In a specific implementation, as an embodiment, the processor 12 (12-1 and 12-2) may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 1. And as an embodiment, the device for estimating the number of accessible users may include multiple processors 12, such as the processor 12-1 and the processor 12-2 shown in FIG. 1. Each CPU in these processors 12 may be a single-core processor (Single-CPU) or a multi-core processor (Multi-CPU). The processor 12 here may refer to one or more devices, circuits, and/or processing cores for processing data (such as computer program instructions).

The memory 11 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 (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 11 may exist independently and be connected to the processor 12 via a bus 13. The memory 11 may also be integrated with the processor 12.

In a specific implementation, the memory 11 is used to store the data in the present application and the computer execution instructions corresponding to the software program for executing the present application. The processor 12 can implement various functions of the device for estimating the number of accessible users by running or executing the software program stored in the memory 11 and calling the data stored in the memory 11.

The communication interface 14 uses any transceiver or other device for communicating with other devices or communication networks, such as a control system, a radio access network (RAN), a wireless local area network (WLAN), etc. The communication interface 14 may include a receiving unit to implement a receiving function, and a sending unit to implement a sending function.

The bus 13 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 13 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, FIG1 only uses one thick line, but does not mean that there is only one bus or one type of bus.

Based on the above-mentioned device for estimating the number of accessible users, as shown in FIG. 2 , an embodiment of the present application provides a method for estimating the number of accessible users, including 201-204:

201. Obtain equipment parameters of a base station to be deployed, scenario information of a coverage area of the base station to be deployed, and service parameters of a target service to be deployed.

The scenario information includes scenario map and scenario category; the service parameters include uplink guaranteed bandwidth, downlink guaranteed bandwidth and latency. The scenario category can be indoor or outdoor (urban and suburban).

Exemplarily, the equipment parameters include one or more of the following: inter-site distance (English full name: Inter-Site Distance, abbreviated as: ISD), the number of sites (the 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 (English full name: Physical Resource Block, abbreviated as: PRB), frame structure, evolved base station (English full name: Evolved Node B, abbreviated as: 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, maximum number of streams of downlink single-user-multiple-input multiple-output antenna system (English full name: downlink single-user-multiple-input multiple-output, abbreviated as: DLSU-MIMO), downlink multi-user multi-input multiple-output antenna system (English full name: downlink The maximum number of streams of the uplink single-user-multiple-input multiple-output (DLMU-MIMO) system, the maximum number of streams of the uplink single-user-multiple-input multiple-output (ULSU-MIMO) system, the maximum number of streams of the uplink multi-user-multiple-input multiple-output (UL MU-MIMO) system, scheduling, propagation model and switching margin.

The target service may be the URLLC service, which has the service guarantee requirement of low latency and high reliability. Because this type of service has high latency requirements and can be used up quickly on the network system, it requires low load requirements on the network system, which can result in more reserved resources. First, estimating the deployment of this type of service can facilitate the deployment estimation of subsequent services.

Specifically, when screening target services, the delay and jitter of all services can be obtained, and services with a delay lower than a delay threshold and a jitter lower than a jitter threshold can be determined as low-latency and high-reliability services.

Exemplarily, the target business may be the business shown in Table 1 below.

Table 1

In an embodiment of the present application, the base station to be deployed can be a global system for mobile communication (GSM), a base station (base transceiver station, BTS) in code division multiple access (CDMA), a base station (node B, NB) in wideband code division multiple access (WCDMA), a base station (evolved Node B, eNB) in Long Term Evolution (LTE), an eNB in the Internet of Things (IoT) or narrowband Internet of Things (NB-IoT), a base station in a future 5G mobile communication network or a future evolved public land mobile network (PLMN), and the embodiment of the present application does not impose any restrictions on this.

202. Perform planning simulation on the base station to be deployed according to the scenario information and the device parameters to obtain a first signal parameter of at least one simulation location point in the coverage area of the base station to be deployed.

Exemplarily, the signal parameter may be a signal to interference plus noise ratio (SINR) or a reference signal receiving power (RSRP); in subsequent embodiments, the signal parameter is taken as an example for related description.

Optionally, in combination with FIG. 2 and referring to FIG. 3 , step 202 may specifically include steps 2021 and 2022:

2021. Determine the equipment type of the base station to be deployed based on the scenario category.

Specifically, the equipment type (eg, 6TR, 8TR, 16TR, 32TR or 128TR) of the proposed base station is determined according to the number of transmitter and receiver (TR) components included in the proposed base station.

Exemplarily, assuming that the device types include a 4TR base station, a 32TR base station, and a 64TR base station, the device type of the base station to be deployed is determined according to the scenario category, including:

When the scene category is indoor, it is determined that the device type of the base station to be deployed is a 4TR base station.

When the scene category is outdoor and the location is urban, it is determined that the device type of the base station to be deployed is a 64TR base station.

When the scene category is outdoor and the location is suburban, it is determined that the device type of the base station to be deployed is a 32TR base station.

2022. Perform planning simulation on the base station to be deployed according to the scene map, device type and device parameters to obtain first signal parameters of at least one simulation location point in the coverage area of the base station to be deployed.

In one practicable manner, the scene map includes a three-dimensional (3D) map and a planning map. The above 2022 steps can be obtained in the following two ways:

1. Scene Reproduction Method

Obtain a 3D map of specified accuracy (such as a 3D map with an accuracy of 2 meters × 2 meters), import the 3D map into simulation software (such as Atoll), configure the device type and device parameters, perform user point simulation, and then determine the first SINR of at least one simulation location point.

2. Scenario Hypothesis

This method is applicable to scenarios where no base station construction is carried out. When only information about 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 2 below:

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

Table 2

Then, based on the penetration loss ratio, device type and device parameters, system simulation software (such as MATLAB, etc.) is used to perform simulation, and user point scattering simulation is performed, and then a first SINR of at least one simulation point is determined.

Among them, the proportion of penetration loss is determined by scenario construction based on different penetration loss models defined in the 38.901 standard.

203. Determine, according to the service parameters, a proportion of reserved resources of the base station to be deployed when carrying the target service.

The reserved resource ratio refers to the ratio of network resources other than those provided for target services to the total network resources of the base station to be deployed.

Optionally, in combination with FIG. 2 , referring to FIG. 4 , step 203 may specifically be: according to the service parameters, according to the first preset formula, calculating the proportion of reserved resources of the base station to be deployed when carrying the target service.

Exemplarily, the first preset formula is:

P＝P00+P10×max(T _D , _TU )+P10×S+P11×max(T _D , _TU )×S+P02×S ² ;

Among them, P is the proportion of reserved resources, _TD is the downlink guaranteed bandwidth, _TU is the uplink guaranteed bandwidth, S is the delay, P00 is 0.4121, P10 is -7.519e ^-06 , P01 is 0.003627, P11 is 2.824e ^-06 , and P02 is 1.406e ^-05 .

Among them, the first preset formula is obtained by fitting after collecting the service parameters of multiple groups (for example, 100 groups) of target services as shown in Table 1 and the actual reserved resource ratio. First, it is necessary to analyze the correlation between the guaranteed bandwidth, delay and jitter and the reserved resource ratio based on the collected data, which can be calculated by the following formula group:

T=max(log ₁₀ (T _U ), log ₁₀ (T _D ));

Among them, T is the guaranteed bandwidth, T _U is the uplink guaranteed bandwidth, T _D is the downlink guaranteed bandwidth, N is the number of accessible users, Cov() is the covariance calculation formula, D() is the variance calculation formula, Delay is the delay, and jitter is the jitter. The specific correlation is shown in Table 3 below.

Table 3

It can be seen that latency and jitter are highly correlated with the reserved ratio, which is a strong correlation and has a greater correlation with bandwidth. Therefore, this patent uses multivariate linear fitting (such as linear fitting, exponential fitting or polynomial fitting) to obtain a better fitting curve, and then obtain the above-mentioned first preset formula. In the fitting, guaranteed bandwidth and latency are used as variables, jitter is the fitting weight, and the reserved ratio is the output value. Therefore, after the fitting is completed to obtain the first preset formula, jitter does not exist as a variable value, but in fact, the formula has already considered the influence of jitter.

In the fitting process, the collected data can first be screened according to the Gaussian distribution to obtain valid data with a confidence interval of 95%, and then the corresponding fitting curve is obtained according to the multivariate new fitting method, as shown in Figure 5, where YL is the proportion of reserved resources, S is the delay, B is the guaranteed bandwidth, and D is the jitter. The curve fitting degree R ² and the root mean squared error (RMSE) of the fitting curve are calculated. It can be seen that when P00 in the first preset formula is 0.4121, P10 is -7.519e ^-06 , P01 is 0.003627, P11 is 2.824e ^-06 , and P02 is 1.406e ^-05 , the fitting degree is 0.9918 and the RMSE is 0.13, which is the optimal situation.

204. Determine the number of accessible users of the base station to be deployed when carrying the target service based on the first signal parameters of at least one simulation location point, the proportion of reserved resources and typical scenario simulation data; the typical scenario simulation data includes the second signal parameters and throughput of at least one typical location point.

The typical scenario simulation data is obtained in a laboratory environment; the specific acquisition method (taking the signal parameter SINR as an example) is as follows:

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.

First, different sampling points are selected. Then, more than 4 (including 4) terminals are placed at each sampling point, and the SINR collected by each terminal, as well as the uplink throughput and downlink throughput of the User Datagram Protocol (UDP) service, are collected. 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, placing 4 UEs can simulate the throughput of the base station when it is fully loaded. 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 it is fully loaded is N/n. 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 it is fully loaded is N/n.

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

Table 4

Among them, point o in Figure 6 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 FIG. 7, 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 (UE-a, UE-b, UE-c and UE-d) are simultaneously placed at positions corresponding to the same SINR.

Optionally, referring to FIG. 8 in combination with FIG. 2 , step 204 may specifically include steps 2041-2043:

2041. Determine target proportions of multiple signal parameter intervals based on a first signal parameter of at least one simulation position point; the target proportion is the proportion of the number of all simulation positions corresponding to the signal parameter interval to the total number of simulation position points.

Exemplarily, taking the signal parameter as SINR, the multiple signal parameter intervals include a third signal parameter interval [-∞, 4.5], a second signal parameter interval (4.5, 12.5) and a first signal parameter interval (12.5, ∞] as an example, the target proportions of the multiple signal parameter intervals are respectively:

Among them, _PG is the target proportion of the first signal parameter interval, _PM is the target proportion of the second signal parameter interval, _PB is the target proportion of the third signal parameter interval, and N _all is the total number of at least one simulation position point.

2042. Determine an average throughput corresponding to each signal parameter interval in a plurality of signal parameter intervals according to the second signal parameter and the throughput of at least one typical location point.

Exemplarily, taking the signal parameter as SINR, the typical scenario simulation data corresponding to the aforementioned Table 4, and multiple signal parameter intervals including the third signal parameter interval [-∞, 4.5], the second signal parameter interval (4.5, 12.5) and the first signal parameter interval (12.5, ∞] as an example, the specific calculation process of the average throughput corresponding to each signal parameter interval is as follows:

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 8 (the horizontal axis is SINR and the vertical axis is 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 for a single correlation, the average throughput under a single SINR is calculated:

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:

The average throughput for a SINR of 22 is:

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 within a certain SINR range is calculated:

Wherein, T _{SINR_gap} is the average throughput of the SINR interval, and N_gap is the number of typical location points corresponding to the SINR interval.

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

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.

Based on the calculation formula of the above average throughput or Table 5, the uplink average throughput and the downlink average throughput in different signal parameter intervals can be obtained, as shown in Table 6 below.

Table 6

2043. Determine the number of accessible users of the base station to be deployed when carrying the target service based on the target proportion of each signal parameter interval, the proportion of reserved resources, the average throughput corresponding to each signal parameter interval, the uplink guaranteed bandwidth, and the downlink guaranteed bandwidth.

Optionally, when the multiple signal parameter intervals include a first signal parameter interval, a second signal parameter interval, and a third signal parameter interval, and the average throughput includes an uplink average throughput and a downlink average throughput, in combination with FIG. 8 and as shown in FIG. 9 , step 2043 specifically includes 20431-40433:

20431. According to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the uplink guaranteed bandwidth, according to the second preset formula, determine the number of uplink accessible users of the base station to be deployed when carrying the target service.

Among them, the second preset formula is:

为第一信号参数区间对应的上行平均吞吐量，

为第二信号参数区间对应的上行平均吞吐量，

为第三信号参数区间对应的上行平均吞吐量；floor为向下取整。Wherein, N _U is the number of uplink accessible users, P is the proportion of reserved resources, T _U is the uplink guaranteed bandwidth, _PG is the target proportion of the first signal parameter interval, _PM is the target proportion of the second signal parameter interval, _PB is the target proportion of the third signal parameter interval,

is the average uplink throughput corresponding to the first signal parameter interval,

is the average uplink throughput corresponding to the second signal parameter interval,

is the uplink average throughput corresponding to the third signal parameter interval; floor is rounded down.

则

与

的计算方式与

的计算方式相同，此处不再赘述。For example, assuming that the equipment type of the proposed base station is 64TR, since the SINR interval corresponding to Pg is (12.5, +∞), it can be seen from Table 6 that the uplink throughput corresponding to the SINR interval (12.5, +∞) is

but

and

The calculation method of

The calculation method is the same and will not be repeated here.

20432. According to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the downlink guaranteed bandwidth, according to the third preset formula, determine the number of downlink accessible users of the base station to be deployed when carrying the target service.

Among them, the third preset formula is:

为第一信号参数区间对应的下行平均吞吐量，

为第二信号参数区间对应的下行平均吞吐量，

为第三信号参数区间对应的下行平均吞吐量。Wherein, _ND is the number of downlink accessible users, P is the proportion of reserved resources, _TD is the downlink guaranteed bandwidth, _PG is the target proportion of the first signal parameter interval, _PM is the target proportion of the second signal parameter interval, _PB is the target proportion of the third signal parameter interval,

is the average downlink throughput corresponding to the first signal parameter interval,

is the average downlink throughput corresponding to the second signal parameter interval,

is the average downlink throughput corresponding to the third signal parameter interval.

则

与

的计算方式与

的计算方式相同，此处不再赘述。For example, assuming that the device type of the base station to be deployed is 64TR, since the SINR interval corresponding to _PG is (12.5, +∞), it can be seen from Table 6 that the downlink throughput corresponding to the SINR interval (12.5, +∞) is

but

and

The calculation method of

The calculation method of is the same and will not be repeated here.

20433. The minimum value of the uplink throughput and the downlink throughput is used as the number of accessible users of the base station to be deployed when carrying the target service.

In the technical solution provided by the embodiment of the present application, in the case where the base station to be deployed intends to deploy the target service, the embodiment of the present application will first obtain the equipment parameters, scenario information and service parameters (uplink guaranteed bandwidth, downlink guaranteed bandwidth and latency, etc.) of the base station to be deployed. Among them, the service parameters directly affect the service guarantee degree of the target service, so in the present application, the service parameters are used to determine the proportion of reserved resources of the base station to be deployed when carrying the target service. Using the aforementioned acquired equipment parameters and scenario information, the first signal parameters of at least one simulated location point (corresponding to the actual location) in the coverage area of the base station to be deployed can be obtained to reflect the signal lightness and quality at the same location in the coverage area; finally, according to all the first signal parameters, the proportion of reserved resources and the second signal parameters and throughput of the typical location points that can be obtained in advance from the laboratory, the number of accessible users (estimated results) of the base station to be deployed when carrying the target service is determined. Because in the technical solution provided in the embodiment of the present application, when estimating the number of accessible users, the service parameters that affect the service assurance requirements of the target service are fully considered, and at the same time, the signal quality of the user terminals at different locations in the coverage area of the base station to be deployed is considered through simulation. Therefore, the final number of accessible users determined by combining these two and typical scenario simulation data is reasonable, achieving the purpose of estimating the number of accessible users when the base station to be deployed carries the corresponding service in a certain scenario (determined by the scenario information) based on the service assurance requirements. Furthermore, in combination with the method for estimating the number of accessible users provided in the embodiment of the present application, it is also possible to make a certain estimate of the number of accessible users when the base station to be deployed needs to deploy multiple services.

The above mainly introduces the solution provided by the embodiment of the present invention from the perspective of the device for estimating the number of accessible users. It can be understood that in order to realize the above functions, the device for estimating the number of accessible users 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 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 device for estimating 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 functional division. There may be other division methods in actual implementation.

In the case of dividing each functional module according to each function, Figure 10 shows a possible composition diagram of the device for estimating the number of accessible users involved in the above embodiment, which may include: an acquisition module 31, a simulation module 32, a calculation module 33 and a processing module 34.

Specifically, the acquisition module 31 is used to obtain the equipment parameters of the base station to be deployed, the scenario information of the coverage area of the base station to be deployed, and the service parameters of the target service to be deployed; the scenario information includes the scenario map and the scenario category; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and latency;

The simulation module 32 is used to perform planning simulation on the base station to be deployed according to the scenario information and device parameters acquired by the acquisition module 31, so as to acquire a first signal parameter of at least one simulation location point in the coverage area of the base station to be deployed;

The calculation module 33 is used to determine the reserved resource ratio of the base station to be deployed when carrying the target service according to the service parameters obtained by the acquisition module 31; the reserved resource ratio is the ratio of network resources other than those provided to the target service to the total network resources of the base station to be deployed;

The processing module 34 is used to determine the number of accessible users of the base station to be deployed when carrying the target service based on the first signal parameters of at least one simulation location point simulated by the simulation module 32, the reserved resource ratio calculated by the calculation module 33, and the typical scenario simulation data; the typical scenario simulation data includes the second signal parameters and throughput of at least one typical location point.

Optionally, the simulation module 32 is specifically used to: determine the equipment type of the base station to be deployed according to the scene category obtained by the acquisition module 31; perform planning simulation on the base station to be deployed according to the equipment type, the scene map and equipment parameters obtained by the acquisition module 31, so as to obtain the first signal parameters of at least one simulation location point in the coverage area of the base station to be deployed.

Optionally, the calculation module 33 is specifically used to: calculate the reserved resource ratio of the base station to be deployed when carrying the target service according to the service parameters obtained by the acquisition module 31 and according to a first preset formula; wherein the first preset formula is:

P＝P00+P10×max(T _D , _TU )+P10×S+P11×max(T _D , _TU )×S+P02×S ² ;

Among them, P is the proportion of reserved resources, _TD is the downlink guaranteed bandwidth, _TU is the uplink guaranteed bandwidth, S is the delay, P00 is 0.4121, P10 is -7.519e ^-06 , P01 is 0.003627, P11 is 2.824e ^-06 , and P02 is 1.406e ^-05 .

Optionally, the processing module 34 is specifically used to: determine a target proportion of multiple signal parameter intervals according to the first signal parameter of at least one simulation position point simulated by the simulation module 32; the target proportion is the proportion of the number of all simulation positions corresponding to the signal parameter interval to the total number of simulation position points;

Determine, according to the second signal parameter and the throughput of at least one typical location point, an average throughput corresponding to each signal parameter interval in a plurality of signal parameter intervals;

According to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval, the reserved resource proportion obtained by the acquisition module 31, the uplink guaranteed bandwidth obtained by the acquisition module 31, and the downlink guaranteed bandwidth obtained by the acquisition module 31, the number of accessible users of the base station to be deployed when carrying the target service is determined.

Optionally, when the multiple signal parameter intervals include a first signal parameter interval, a second signal parameter interval, and a third signal parameter interval, and the average throughput includes an uplink average throughput and a downlink average throughput, the processing module 34 is specifically used to: determine the number of uplink accessible users of the base station to be deployed when carrying the target service according to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval, and the uplink guaranteed bandwidth, according to the second preset formula; the second preset formula is:

为第一信号参数区间对应的上行平均吞吐量，

为第二信号参数区间对应的上行平均吞吐量，

为第三信号参数区间对应的上行平均吞吐量；Wherein, N _U is the number of uplink accessible users, P is the proportion of reserved resources, T _U is the uplink guaranteed bandwidth, _PG is the target proportion of the first signal parameter interval, _PM is the target proportion of the second signal parameter interval, _PB is the target proportion of the third signal parameter interval,

is the average uplink throughput corresponding to the first signal parameter interval,

is the average uplink throughput corresponding to the second signal parameter interval,

is the uplink average throughput corresponding to the third signal parameter interval;

According to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval, and the guaranteed downlink bandwidth, the number of downlink accessible users of the base station to be deployed when carrying the target service is determined according to the third preset formula; the second preset formula is:

为第一信号参数区间对应的下行平均吞吐量，

为第二信号参数区间对应的下行平均吞吐量，

为第三信号参数区间对应的下行平均吞吐量；Wherein, _ND is the number of downlink accessible users, P is the proportion of reserved resources, _TD is the downlink guaranteed bandwidth, _PG is the target proportion of the first signal parameter interval, _PM is the target proportion of the second signal parameter interval, _PB is the target proportion of the third signal parameter interval,

is the average downlink throughput corresponding to the first signal parameter interval,

is the average downlink throughput corresponding to the second signal parameter interval,

is the average downlink throughput corresponding to the third signal parameter interval;

The minimum value of the uplink throughput and the downlink throughput is used as the number of accessible users of the base station to be deployed when carrying the target service.

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

The device for estimating the number of accessible users provided in the embodiment of the present application is mainly used to execute the method for estimating the number of accessible users provided in the aforementioned embodiment, so its corresponding beneficial effects can be described with reference to the aforementioned embodiment and will not be repeated here.

An embodiment of the present application also provides a computer-readable storage medium, which includes computer-executable instructions. When the computer-executable instructions are executed on a computer, the computer executes the method for estimating the number of accessible users provided in the above embodiment.

An embodiment of the invention also provides a computer program product, which includes a computer program for executing on a computer. The computer program can be directly loaded into a memory and contains software code. After being loaded and executed by a computer, the computer program can implement the method for estimating the number of accessible users provided in the above embodiment.

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.

Those skilled in the art will appreciate that in one or more of the above examples, the functions described in the present invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented using software, the functions may be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer-readable storage media and communication media, wherein communication media include any media that facilitates the transmission of a computer program from one place to another. The storage medium may be any available medium that a general or special-purpose computer can access.

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 several embodiments provided in the present application, 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, and there may be other division methods in actual implementation. For example, 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 coupling or direct coupling or communication connection between each other 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 unit described as a separate component may or may not be physically separated, and the component displayed as a unit may be a physical unit or multiple physical units, that is, it may be located in one place, or it may be distributed in multiple different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

In addition, each functional unit in each embodiment of the present invention can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. 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 application 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, including several instructions to enable 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: various media that can store program codes, such as a U disk, a mobile hard disk, a ROM, a RAM, a disk, or an optical disk.

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 that can be easily thought of by a person skilled in the art 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 shall be subject to the protection scope of the claims.

Claims (10)

1. A method for estimating the number of accessible users, comprising: Obtaining equipment parameters of the base station to be deployed, scenario information of the coverage area of the base station to be deployed, and service parameters of the target service to be deployed; the scenario information includes a scenario map and a scenario category; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and latency; Performing planning simulation on the base station to be deployed according to the scenario information and the device parameters to obtain a first signal parameter of at least one simulation location point in the coverage area of the base station to be deployed; the signal parameter is at least used to indicate the signal strength and quality of the corresponding location; Determine, according to the service parameters, the reserved resource ratio of the base station to be deployed when carrying the target service; the reserved resource ratio is the ratio of network resources other than those provided to the target service to the total network resources of the base station to be deployed; Determine the number of accessible users of the base station to be deployed when carrying the target service according to the first signal parameter of the at least one simulation location point, the reserved resource ratio and typical scenario simulation data; the typical scenario simulation data includes the second signal parameter and throughput of at least one typical location point; Wherein, determining the number of accessible users of the base station to be deployed when carrying the target service according to the first signal parameter of the at least one simulation location point, the reserved resource ratio and typical scenario simulation data includes: Determine a target proportion of multiple signal parameter intervals according to the first signal parameter of the at least one simulation position point; the target proportion is the proportion of the number of all simulation positions corresponding to the signal parameter interval to the total number of the simulation position points; Determining an average throughput corresponding to each signal parameter interval in the multiple signal parameter intervals according to the second signal parameter and the throughput of the at least one typical location point; The number of accessible users of the base station to be deployed when carrying the target service is determined according to the target proportion of each signal parameter interval, the reserved resource proportion, the average throughput corresponding to each signal parameter interval, the uplink guaranteed bandwidth and the downlink guaranteed bandwidth. 2. The method for estimating the number of accessible users according to claim 1, characterized in that the step of performing planning simulation on the base station to be deployed according to the scenario information and the device parameters to obtain a first signal parameter of at least one simulation location point in the coverage area of the base station to be deployed comprises: Determining, according to the scenario category, a device type of the base station to be deployed; According to the scenario map, the device type and the device parameters, a planning simulation is performed on the base station to be deployed to obtain a first signal parameter of at least one simulation location point in the coverage area of the base station to be deployed. 3. The method for estimating the number of accessible users according to claim 1, wherein determining the proportion of reserved resources of the base station to be deployed when carrying the target service according to the service parameters comprises: According to the service parameters, the reserved resource ratio of the base station to be deployed when carrying the target service is calculated according to a first preset formula; the first preset formula is: P＝P00+P10×max(T _D , _TU )+P10×S+P11×max(T _D , _TU )×S+P02×S ² ; Among them, P is the reserved resource ratio, _TD is the downlink guaranteed bandwidth, T _U is the uplink guaranteed bandwidth, S is the delay, P00 is 0.4121, P10 is -7.519e ^-06 , P01 is 0.003627, P11 is 2.824e ^-06 , and P02 is 1.406e ^-05 . 4. The method for estimating the number of accessible users according to claim 1, characterized in that when the multiple signal parameter intervals include a first signal parameter interval, a second signal parameter interval, and a third signal parameter interval, and the average throughput includes an uplink average throughput and a downlink average throughput, determining the number of accessible users of the base station to be deployed when carrying the target service according to the target proportion of each signal parameter interval, the reserved resource proportion, the average throughput corresponding to each signal parameter interval, the uplink guaranteed bandwidth, and the downlink guaranteed bandwidth, comprises: According to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval, and the uplink guaranteed bandwidth, the number of uplink accessible users of the base station to be deployed when carrying the target service is determined according to a second preset formula; the second preset formula is:

Wherein, N _U is the number of uplink accessible users, P is the reserved resource ratio, T _U is the uplink guaranteed bandwidth, _PG is the target ratio of the first signal parameter interval, _PM is the target ratio of the second signal parameter interval, _PB is the target ratio of the third signal parameter interval,

is the uplink average throughput corresponding to the first signal parameter interval,

is the uplink average throughput corresponding to the second signal parameter interval,

is the uplink average throughput corresponding to the third signal parameter interval; According to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the downlink guaranteed bandwidth, the number of downlink accessible users of the base station to be deployed when carrying the target service is determined according to a third preset formula; the third preset formula is:

Wherein, _ND is the number of downlink accessible users, P is the reserved resource ratio, _TD is the downlink guaranteed bandwidth, _PG is the target ratio of the first signal parameter interval, _PM is the target ratio of the second signal parameter interval, _PB is the target ratio of the third signal parameter interval,

is the average downlink throughput corresponding to the first signal parameter interval,

is the average downlink throughput corresponding to the second signal parameter interval,

is the average downlink throughput corresponding to the third signal parameter interval; The minimum value of the uplink average throughput and the downlink average throughput is used as the number of accessible users of the base station to be deployed when carrying the target service. 5. A device for estimating the number of accessible users, comprising: An acquisition module is used to acquire equipment parameters of the base station to be deployed, scenario information of the coverage area of the base station to be deployed, and service parameters of the target service to be deployed; the scenario information includes a scenario map and a scenario category; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and latency; A simulation module, configured to perform planning simulation on the base station to be deployed according to the scenario information and the device parameters acquired by the acquisition module, so as to acquire a first signal parameter of at least one simulation location point in the coverage area of the base station to be deployed; A calculation module, used to determine the reserved resource ratio of the base station to be deployed when carrying the target service according to the service parameters obtained by the acquisition module; the reserved resource ratio is the ratio of network resources other than those provided to the target service to the total network resources of the base station to be deployed; A processing module, configured to determine the number of accessible users of the base station to be deployed when carrying the target service according to the first signal parameter of the at least one simulation location point simulated by the simulation module, the reserved resource ratio calculated by the calculation module, and typical scenario simulation data; the typical scenario simulation data includes a second signal parameter and throughput of at least one typical location point; Wherein, the processing module is specifically used for: Determine a target proportion of multiple signal parameter intervals according to the first signal parameter of the at least one simulation position point obtained by the simulation module; the target proportion is the proportion of the number of all simulation positions corresponding to the signal parameter interval to the total number of the simulation position points; Determining an average throughput corresponding to each signal parameter interval in the multiple signal parameter intervals according to the second signal parameter and the throughput of the at least one typical location point; According to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval, the reserved resource proportion obtained by the acquisition module, the uplink guaranteed bandwidth obtained by the acquisition module, and the downlink guaranteed bandwidth obtained by the acquisition module, determine the number of accessible users of the base station to be deployed when carrying the target service. 6. The device for estimating the number of accessible users according to claim 5, wherein the simulation module is specifically used for: Determining a device type of the base station to be deployed according to the scenario category acquired by the acquisition module; According to the device type, the scenario map obtained by the acquisition module and the device parameters, a planning simulation is performed on the base station to be deployed to obtain a first signal parameter of at least one simulation location point in the coverage area of the base station to be deployed. 7. The device for estimating the number of accessible users according to claim 5, wherein the calculation module is specifically used for: According to the service parameters obtained by the acquisition module, the reserved resource ratio of the base station to be deployed when carrying the target service is calculated according to a first preset formula; the first preset formula is: P＝P00+P10×max(T _D , _TU )+P10×S+P11×max(T _D , _TU )×S+P02×S ² ; Among them, P is the reserved resource ratio, _TD is the downlink guaranteed bandwidth, T _U is the uplink guaranteed bandwidth, S is the delay, P00 is 0.4121, P10 is -7.519e ^-06 , P01 is 0.003627, P11 is 2.824e ^-06 , and P02 is 1.406e ^-05 . 8. The device for estimating the number of accessible users according to claim 5, wherein when the plurality of signal parameter intervals include a first signal parameter interval, a second signal parameter interval, and a third signal parameter interval, and the average throughput includes an uplink average throughput and a downlink average throughput, the processing module is specifically configured to: According to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval, and the uplink guaranteed bandwidth, the number of uplink accessible users of the base station to be deployed when carrying the target service is determined according to a second preset formula; the second preset formula is:

Wherein, N _U is the number of uplink accessible users, P is the reserved resource ratio, T _U is the uplink guaranteed bandwidth, _PG is the target ratio of the first signal parameter interval, _PM is the target ratio of the second signal parameter interval, _PB is the target ratio of the third signal parameter interval,

is the uplink average throughput corresponding to the first signal parameter interval,

is the uplink average throughput corresponding to the second signal parameter interval,

is the uplink average throughput corresponding to the third signal parameter interval; According to the target proportion of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the downlink guaranteed bandwidth, the number of downlink accessible users of the base station to be deployed when carrying the target service is determined according to a third preset formula; the third preset formula is:

Wherein, _ND is the number of downlink accessible users, P is the reserved resource ratio, _TD is the downlink guaranteed bandwidth, _PG is the target ratio of the first signal parameter interval, _PM is the target ratio of the second signal parameter interval, _PB is the target ratio of the third signal parameter interval,

is the average downlink throughput corresponding to the first signal parameter interval,

is the average downlink throughput corresponding to the second signal parameter interval,

is the average downlink throughput corresponding to the third signal parameter interval; The minimum value of the uplink average throughput and the downlink average throughput is used as the number of accessible users of the base station to be deployed when carrying the target service. 9. A device for estimating the number of accessible users, characterized in that it comprises a memory, a processor, a bus and a communication interface; the memory is used to store computer-executable instructions, and the processor is connected to the memory through the bus; when the device for estimating the number of accessible users is running, the processor executes the computer-executable instructions stored in the memory, so that the device for estimating the number of accessible users executes the method for estimating the number of accessible users as described in any one of claims 1-4. 10. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises computer-executable instructions, and when the computer-executable instructions are executed on a computer, the computer executes the method for estimating the number of accessible users according to any one of claims 1 to 4.

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