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CN116367255A - Method and device for optimizing mobile network based on LTE module - Google Patents

Method and device for optimizing mobile network based on LTE module Download PDF

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Publication number
CN116367255A
CN116367255A CN202310040276.1A CN202310040276A CN116367255A CN 116367255 A CN116367255 A CN 116367255A CN 202310040276 A CN202310040276 A CN 202310040276A CN 116367255 A CN116367255 A CN 116367255A
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network
evaluation
module
data
mobile network
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刘建华
陈克学
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Shenzhen Qianhai Tongyi Network Technology Co ltd
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Shenzhen Qianhai Tongyi Network Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/14—Reselecting a network or an air interface
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/318—Received signal strength
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H04W36/0058—Transmission of hand-off measurement information, e.g. measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H04W36/0072—Transmission or use of information for re-establishing the radio link of resource information of target access point
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H04W36/0077—Transmission or use of information for re-establishing the radio link of access information of target access point
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/16—Performing reselection for specific purposes
    • H04W36/165—Performing reselection for specific purposes for reducing network power consumption
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/16—Performing reselection for specific purposes
    • H04W36/20—Performing reselection for specific purposes for optimising the interference level
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides a method for optimizing a mobile network based on an LTE module, which comprises the following steps: s1, acquiring timing speed measurement data, real-time network delay data, historical base station/frequency band information data, module signals, network packet loss rate and flow tariffs as reference factors in a certain period of time of a mobile network; s2, converting the reference factors into a plurality of evaluation variables; s3, respectively distributing weights to a plurality of evaluation variables according to the application scene; s4, combining a plurality of evaluation variables with the weights to serve as an evaluation function, and calculating an evaluation value; and S5, selecting the optimal mobile network as an access network according to the evaluation value. The device based on the LTE module and the mobile network is optimized. The invention aims to provide a mobile network optimization method capable of comprehensively evaluating the communication condition of a mobile network and giving an optimization result.

Description

Method and device for optimizing mobile network based on LTE module
Technical Field
The invention belongs to the field of network optimization, and particularly relates to a method and a device for optimizing a mobile network based on an LTE module.
Background
In the existing related products, the network condition is judged by only acquiring the current signals of the modules, the network condition is judged by only the connection time delay of the modules, and the network condition is judged by only the network test speed value of the equipment. These methods are all affected by conditions such as environmental changes, base station capacity changes, user group changes, test website changes, etc., and cannot timely and effectively provide the current optimal network to the device, so that a good network use experience cannot be provided for the user.
The technical scheme of the existing product is to realize network state judgment by simply measuring the speed or accessing a specific server, so that the selection of three operator networks is carried out according to the fed-back network state. There are generally two specific ways, as depicted in fig. 1 and 2.
The first speed measurement optimizing mode: the feedback of the speed measurement result is a part of the network state during speed measurement, and the speed of the actual module is influenced by the capacity of the speed measurement website and the capacity of the base station equipment, so that the speed measurement result fluctuates along with the change of time. The second network delay mode: the method uses the real-time access of the module equipment and a specific background server, judges the state of the currently used network through the value of network delay to decide what network to select to use, and the method avoids the non-real-time problem of the first method, but only judges through the delay, and has certain unilaterality.
Disclosure of Invention
In view of the above-described drawbacks of the prior art, an object of the present invention is to provide a mobile network preference method capable of comprehensively evaluating the communication situation of a mobile network, giving preference results.
The application scheme provides a method for optimizing a mobile network based on an LTE module, which comprises the following steps:
s1, acquiring timing speed measurement data, real-time network delay data, historical base station/frequency band information data, module signals, network packet loss rate and flow tariffs as reference factors in a certain period of time of a mobile network;
s2, converting the reference factors into a plurality of evaluation variables;
s3, respectively distributing weights to a plurality of evaluation variables according to the application scene;
s4, combining a plurality of evaluation variables with the weights to serve as an evaluation function, and calculating an evaluation value;
and S5, selecting the optimal mobile network as an access network according to the evaluation value.
Further, the step S2 includes the following evaluation variables and corresponding transformations within a certain period of time:
based on the same speed measuring server, under the same geographic position, the ratio of the difference between the maximum value A1max of the uplink network data of the network speed measurement and the average value A1avg of the uplink network data in the time period to the A1max is used as an evaluation variable X1;
based on the same speed measuring server, under the same geographic position, the ratio of the difference between the maximum value A2max of the downlink network data of the network speed measurement and the average value A2avg of the downlink network data in the time period to the A2max is used as an evaluation variable X2;
taking the ratio of the difference between the maximum value A3max and the average value A3avg of the delay data of the heartbeat packet accessed by the cloud server and the average value A3avg as an evaluation variable X3;
based on the actual registered operator network, the ratio of the difference between the maximum value A4max and the average value A4avg of the signal value CSQ returned by the module end and the A4max is used as an evaluation variable X4;
based on the ratio of the packet loss number of heartbeat packets to the total transmission packets of the data accessed by the cloud server, the data is used as an evaluation variable X5;
the ratio of the number of network disconnection times to the total access times of the server is used as an evaluation variable X6;
the ratio of the number of frequency bands and base stations registered by the module to all available frequency bands/base stations around the place where the equipment is located is used as an evaluation variable X7;
the ratio of the difference between the tariff standard and the tariff average of the actual operator traffic used by the module to the most expensive tariff is used as the evaluation variable X8.
Further, the evaluation function is expressed as that Wn is a weight corresponding to each evaluation variable, and Wn is not less than 0, n=1 to 8.
Further, the application scene comprises a payment scene and an advertisement machine display scene; in the payment scenario, w3+w4+w5+w6 > 60%; in the display scene of the advertising machine, W1+W2+W8 is more than 50 percent.
The device based on the LTE module is preferably a mobile network, and comprises:
an LTE4G module for transmitting and receiving communication data packets after registering with the base station by using corresponding operator SIM card information;
one of the three operator patch SIM cards is used for registering corresponding operator networks for the LTE4G module;
and the micro-processing chip unit is used for controlling the switching of the three SIM cards and is used for switching the currently used SIM cards according to the control instruction of the LTE4G module.
The improvement of the present application brings the following advantages: the mobile network optimization method provided by the embodiment of the application can evaluate the communication condition of the mobile network more comprehensively from multiple dimensions and directions, and the one-sided defect existing in the existing scheme is overcome by integrating multiple factors to consider; meanwhile, different weights are distributed to different evaluation variables according to application scenes, so that the evaluation result has better pertinence and is more suitable for practical application.
Drawings
Fig. 1 is a schematic diagram of a preferred method of a mobile network in the prior art.
Fig. 2 is a schematic diagram of another conventional mobile network preference method.
Fig. 3 is an alternative system architecture of a preferred mobile network provided in an embodiment of the present application.
Fig. 4 is a flowchart of a preferred mobile network method according to an embodiment of the present application.
Fig. 5 is a selection of a portion of reference factors in an embodiment of the present application.
Fig. 6 is a schematic diagram of an allocation scheme of weights in a payment scenario according to an embodiment of the present application.
Fig. 7 is a schematic diagram of an embodiment of a weight allocation scheme when an advertiser displays a scene.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention.
Fig. 3 is an alternative system architecture of a preferred mobile network according to an embodiment of the present application, and as shown in fig. 3, the system architecture may include: network device 100, base station 200, cloud server 300.
A network device is a device that uses a mobile network for communication, such as a cell phone or the like. The cloud server is used for connecting, measuring the network speed, sending heartbeat packets and the like.
The method is realized by using the network equipment as reference factors to comprehensively evaluate the communication condition of the mobile network from multiple dimensions by using timing speed measurement data, real-time network delay data, historical base station/frequency band information data, module signals, network packet loss rate and flow charge in a certain period of time of the mobile network; then converting the reference factors into evaluation variables and giving weights according to the application scenes so as to meet the actual application scenes and enhance the preferential pertinence; and finally, calculating an evaluation value by combining the evaluation variable and the weight as an evaluation function, and selecting an optimal network according to the height of the evaluation value.
Next, a method of the preferred mobile network of the present application will be described, as shown in fig. 4, and fig. 4 shows a flowchart of the preferred mobile network method provided in an embodiment of the present application, where the method may include the following steps:
s100, acquiring timing speed measurement data, real-time network delay data, historical base station/frequency band information data, module signals, network packet loss rate and flow tariffs as reference factors in a certain period of time of a mobile network.
As shown in fig. 5, specifically, after the timing speed measurement data is registered by the network of the current operator, the timing speed measurement data is obtained by performing network speed measurement through a corresponding server. A special data chain is used to record the current operator information, the speed measurement time, the speed measurement speed and the speed measurement position (the position is derived from the base station position data registered by the module).
The real-time network delay data is obtained by real-time heartbeat packet interaction with a designated cloud background (cloud server) after the module is registered on the network, and the data dimension comprises: the test time of the heartbeat package, the delay data of the heartbeat package and the average delay data of the heartbeat package.
The historical base station/frequency BAND information data is obtained from the network of the module after the module is registered, and the currently registered base station information and frequency BAND information are obtained through interaction with the module, wherein the base station/frequency BAND information data comprise TAC, ECI and BAND information after the module is registered in the network, and the TAC is a tracking area code. The ECI 4G module refers to a unique identification of a cell. Band 4G module refers to the frequency Band information used by the module registration, and is a frequency range or the width of a frequency spectrum, namely the range between the lowest working frequency and the highest working frequency of the wireless decoder, wherein the unit is Hz. (specifically, the information issued by the working letter department and the operator and the information provided by the corresponding module manufacturer are used as the standard). Based on background big data statistics, the data dimension also comprises the history of the nearby base station cell equipment registered with the base station cell equipment.
The module signal refers to the related signal information obtained by interaction with the module after the module registers on the network, and comprises RSSI, received signal strength indication, RSRQ, reference signal receiving quality, RSRP, reference signal receiving power and SINR, wherein the RSSI is taken as a main basis, and the current mainstream 4G module feeds back the signal strength by a CSQ value. The RSSI is typically used to calculate a range of values from 0 to 31 (the larger the value, the stronger the signal) through a certain calculation company.
Network packet loss rate: the packet loss rate is communicated with the background in real time after being registered on the network through the module, and the packet loss data generated by the heartbeat packet is received and transmitted.
S200, converting the reference factors into a plurality of evaluation variables.
Specifically, step S200 includes the following evaluation variables and corresponding transformations within a certain period of time:
based on the same speed measuring server, under the same geographic position, the ratio of the difference between the maximum value A1max of the uplink network data of the network speed measurement and the average value A1avg of the uplink network data in the time period to the A1max is used as an evaluation variable X1;
based on the same speed measuring server, under the same geographic position, the ratio of the difference between the maximum value A2max of the downlink network data of the network speed measurement and the average value A2avg of the downlink network data in the time period to the A2max is used as an evaluation variable X2;
taking the ratio of the difference between the maximum value A3max and the average value A3avg of the delay data of the heartbeat packet accessed by the cloud server and the average value A3avg as an evaluation variable X3;
based on the actual registered operator network, the ratio of the difference between the maximum value A4max and the average value A4avg of the signal value CSQ returned by the module end and the A4max is used as an evaluation variable X4;
based on the ratio of the packet loss number of heartbeat packets to the total transmission packets of the data accessed by the cloud server, the data is used as an evaluation variable X5;
the ratio of the number of network disconnection times to the total access times of the server is used as an evaluation variable X6;
the ratio of the number of frequency bands and base stations registered by the module to all available frequency bands/base stations around the place where the equipment is located is used as an evaluation variable X7;
the ratio of the difference between the tariff standard and the tariff average of the actual operator traffic used by the module to the most expensive tariff is used as the evaluation variable X8.
S300, respectively distributing weights to a plurality of evaluation variables according to the application scene.
S400, combining a plurality of evaluation variables and weights as an evaluation function to calculate an evaluation value.
Specifically, the evaluation function is expressed as that Wn is the weight corresponding to each evaluation variable, and Wn > 0, n=1 to 8.
Specifically, the application scene includes a payment scene and an advertiser display scene.
As shown in fig. 6, if the module is applied in a payment scenario, the requirements on the network, such as real-time performance, network delay and network packet loss, are relatively high, but the requirements on the network bandwidth are relatively low. In this scenario, the data module is optimized by the module network supporting three operators, and then the network is switched to the operator network with high network instantaneity and high network delay requirement, so that the requirement of the use scenario of the current product is met with higher priority.
Under this model: the network preference model is based on the above-mentioned reference factor, with x3/x4/x5/x6 ratio requirements being higher. Specific W 3 +W 4 +W 5 +W 6 > 60%, preferably W 3 +W 4 +W 5 +W 6 ＞70％。
As shown in fig. 7, in the display scenario of the advertisement player, in view of the display requirement of the advertisement player, the update period of the content update is relatively long through the network update, and in general, the advertisement player pays according to the number of devices and the number and period of playing of the devices, and after playing for a period of time, the video content updated to the next advertisement player through the network is required to be played, so that the requirement of the devices on the network becomes relatively sensitive to the network bandwidth of a certain period of time and the network charge of a certain period of time, and the requirement of the network instantaneity is lowered. Thus, in this scenario, the network-preferred data model of such modular products would be switched under this data model scenario.
Under this model: the x1/x2/x8 duty cycle is higher among the above-mentioned reference factors. Specifically, in the display scene of the advertising machine, W 1 +W 2 +W 8 > 50%, preferably W 1 +W 2 +W 8 ＞60％。
And S500, selecting the optimal mobile network as an access network according to the evaluation value.
According to the method for optimizing the mobile network, performance parameter indexes related to network experience are referred from more angles, the performance parameter indexes comprise various signal conditions after the 4G module is registered in the network, and the network use conditions of other equipment at the base station or the current position are synchronously compared in a big data mode, so that more dimensionality judgment and selection are carried out. In the traditional mode of the preferred network supporting the modules of the three operators, more dimensions are added to carry out comprehensive judgment, and the preferred mobile network is more comprehensive and accurate through the addition of the preferred dimensions of the network.
Aiming at the establishment of a big data model of a practical application scene of a product, the weight of each evaluation variable is distributed according to the practical application scene to promote the product network experience of a 4G module supporting three large operator networks, and the phenomena that the network selection is wrong or the network is normal in short time operation and frequently has problems in long-time operation caused by a certain fixed network selection mode are greatly avoided.
Moreover, compared with the existing multi-dimensional network optimization schemes, the method has more dimensions and variables and more optimization of calculation modes. For example:
adding the CSQ value comprehensively calculated by each signal value of the module as a reference factor;
increasing the module registration frequency band and the ratio of the number of base station cells to the available number as evaluation variables, wherein the variables can be used for considering the network coverage condition of the current equipment and the load condition of the network equipment;
the reference factor of the flow rate cost of the equipment is increased, because the modules are required to be commercially available and the scenes are different, users can distinguish the flow rate requirements, and better cost performance can be brought by using the reference factor.
According to the mobile network optimization method, the coverage and the use condition of the operator network where the current equipment is located can be fed back according to the use condition of the mobile network of the network using equipment, and then a large-range coverage is formed if the number of the equipment is the same, and according to the use condition of the equipment, the whole condition of the operator network where the current equipment is located can be fed back faithfully, so that actual data support and optimization reference directions are provided for the optimization of the operator network.
An apparatus for optimizing a mobile network based on an LTE module according to an embodiment of the present application includes:
the application is embodied in a device based on a preferred mobile network of an LTE module, comprising:
an LTE4G module for transmitting and receiving communication data packets after registering with the base station by using corresponding operator SIM card information;
one of the three operator patch SIM cards is used for registering corresponding operator networks for the LTE4G module;
and the micro-processing chip unit is used for controlling the switching of the three SIM cards and is used for switching the currently used SIM cards according to the control instruction of the LTE4G module.
The mobile network optimization device provided by the embodiment is directly rooted in the LTE module, only one 4G module is needed, and communication modules of three operators, namely mobile, communication and telecom, are not needed, so that the structure is simplified, the cost is lower, and the universality is stronger.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims (5)

1. The method for optimizing the mobile network based on the LTE module is characterized by comprising the following steps of:
s1, acquiring timing speed measurement data, real-time network delay data, historical base station/frequency band information data, module signals, network packet loss rate and flow tariffs as reference factors in a certain period of time of a mobile network;
s2, converting the reference factors into a plurality of evaluation variables;
s3, respectively distributing weights to a plurality of evaluation variables according to the application scene;
s4, combining a plurality of evaluation variables with the weights to serve as an evaluation function, and calculating an evaluation value;
and S5, selecting the optimal mobile network as an access network according to the evaluation value.
2. The method according to claim 1, wherein step S2 comprises the following evaluation variables and corresponding transformations within a certain period of time:
based on the same speed measuring server, the maximum value A1 of uplink network data of network speed measurement under the same geographic position max And the average value A1 of the uplink network data in the time period avg Is the difference between (A) and A1 max As an evaluation variable X 1 ；
Based on the same speed measuring server, the maximum value A2 of downlink network data of network speed measurement under the same geographic position max Average value A2 of downlink network data in the time period avg Is the difference between (A) and A2 max As an evaluation variable X 2 ；
Maximum value A3 of delay data based on heartbeat package accessed by cloud server max And average value A3 avg Difference from A3 max As an evaluation variable X 3 ；
Based on the actual registered operator network, the maximum value A4 of the signal value CSQ returned by the module end max And average value A4 avg Difference from A4 max As an evaluation variable X 4 ；
Based on the ratio of the lost packet number of heartbeat packets to the total transmission packets of the data accessed by the cloud server, the data is taken as an evaluation variable X 5 ；
The ratio of the number of network disconnections to the total number of accesses to the server is used as an evaluation variable X 6 ；
Frequency band registered by module&The ratio of the number of base stations to all available frequency bands/base stations around the location of the device is used as an evaluation variable X 7 ；
The ratio of the difference between the tariff standard and the tariff average of the actual operator traffic used by the module to the most expensive tariff is used as the evaluation variable X 8 。
3. The method of claim 2, wherein the evaluation function is expressed as
Figure FDA0004050610740000011
Wherein W is n Weights corresponding to the respective evaluation variables and +.>
Figure FDA0004050610740000012
W n ≥0，n＝1～8。
4. The method of claim 3, wherein the application scenarios comprise a payment scenario and an advertiser display scenario; in the payment scenario, W 3 +W 4 +W 5 +W 6 > 60%; in the display scene of the advertising machine, W 1 +W 2 +W 8 ＞50％。
5. An apparatus for optimizing a mobile network based on an LTE module, comprising:
an LTE4G module for transmitting and receiving communication data packets after registering with the base station by using corresponding operator SIM card information;
one of the three operator patch SIM cards is used for registering corresponding operator networks for the LTE4G module;
and the micro-processing chip unit is used for controlling the switching of the three SIM cards and is used for switching the currently used SIM cards according to the control instruction of the LTE4G module.
CN202310040276.1A 2023-01-12 2023-01-12 Method and device for optimizing mobile network based on LTE module Pending CN116367255A (en)

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