CN114173351A - Method, device and equipment for determining deployment position of base station and readable storage medium - Google Patents

Method, device and equipment for determining deployment position of base station and readable storage medium Download PDF

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CN114173351A
CN114173351A CN202111434427.9A CN202111434427A CN114173351A CN 114173351 A CN114173351 A CN 114173351A CN 202111434427 A CN202111434427 A CN 202111434427A CN 114173351 A CN114173351 A CN 114173351A
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base station
access terminal
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poor sensing
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CN114173351B (en
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吴争光
郑夏妍
房晨
柯腾辉
戴鹏
苗岩
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China United Network Communications Group Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
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    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract

The application provides a method, a device, equipment and a readable storage medium for determining a base station deployment position. Historical interactive data between an existing base station and an access terminal in an area to be planned is obtained, wherein the historical interactive data comprises quality parameters of network signals received by the access terminal from the existing base station; screening out all poor-feeling access terminals of which the quality parameters are lower than a preset threshold value from the access terminals in the area to be planned; determining the position of each poor sensing access terminal according to the deployment scene of the existing base station currently accessed by each poor sensing access terminal; clustering the positions of the poor induction access terminals to obtain poor induction areas in the areas to be planned; and determining the deployment position of the base station in the poor sensing area. The poor feeling areas existing in the area to be planned are reduced from the source, and the communication quality requirement of the user is met. Meanwhile, the subsequent maintenance of the poor sensing area by an operator is avoided, and the labor cost is saved.

Description

Method, device and equipment for determining deployment position of base station and readable storage medium
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a device and a readable storage medium for determining a deployment location of a base station
Background
In a mobile communication system, a base station is a radio transceiver station that transmits information to an access terminal through a mobile switching center in a certain network coverage area. And the rationality of the deployment position of the base station can improve the network quality of the access terminal in the network coverage area.
In the prior art, when determining the deployment location of a base station in an area to be planned, the specific location of the base station to be deployed is usually determined by predicting the number of access terminals in the area to be planned. There are many ways to predict the number of access terminals, for example, the number of users in the area to be planned can be predicted according to the user proportion of the operator; the number of users entering the area to be planned can also be predicted according to the access user track of the nearby base station outside the area to be planned; the number of users in the area to be planned can be predicted through the number of users in the area to be planned, which is counted by the national statistical bureau, the administrative bureau of the jurisdiction and the like.
When the deployment position of the base station is determined, a plurality of poor sensing areas still exist in the area to be planned, and the access terminal located in the poor sensing area has poor network signals and cannot meet the communication quality requirement of a user.
Disclosure of Invention
The application provides a method, a device, equipment and a readable storage medium for determining a base station deployment position, which are used for solving the problem that when the base station deployment position is determined in the prior art, a plurality of poor areas still exist in an area to be planned.
In a first aspect, the present application provides a method for determining a deployment location of a base station, including:
acquiring historical interactive data between an existing base station and an access terminal in an area to be planned, wherein the historical interactive data comprises quality parameters of network signals received by the access terminal from the existing base station;
screening out all poor-feeling access terminals of which the quality parameters are lower than a preset threshold value from the access terminals in the area to be planned;
determining the position of each poor sensing access terminal according to the deployment scene of the existing base station currently accessed by each poor sensing access terminal;
clustering the positions of the poor induction access terminals to obtain poor induction areas in the areas to be planned;
and determining the deployment position of the base station in the poor sensing area.
Optionally, the determining, according to a deployment scenario of an existing base station to which each of the bad sensing access terminals currently accesses, a location of each of the bad sensing access terminals includes:
acquiring a signal coverage maximum distance corresponding to a deployment scene of an existing base station currently accessed by each poor sensing access terminal;
determining a distance attenuation ratio according to the quality parameter value of each poor sensing access terminal and a corresponding quality standard value, wherein the corresponding quality standard value is the quality standard value corresponding to a deployment scene of an existing base station currently accessed by the poor sensing access terminal;
and determining the position of each poor sensing access terminal according to the signal coverage farthest distance and the distance attenuation ratio corresponding to each poor sensing access terminal.
Optionally, the historical interaction data includes call service interaction data and internet service interaction data;
the determining the distance attenuation ratio according to the quality parameter value of each poor sensing access terminal and the corresponding quality standard value comprises the following steps:
and determining the distance attenuation ratio according to the call service quality parameter value, the call service quality standard value, the internet service quality parameter value and the internet service quality standard value of each poor induction access terminal.
Optionally, the determining the position of each poor sensing access terminal according to the signal coverage maximum distance and the distance attenuation ratio corresponding to each poor sensing access terminal includes:
determining the position A of each poor sensing access terminal by adopting the following formula:
Figure BDA0003381104600000021
wherein, Wn1The deployment scene of the existing base station accessed by the poor sensing access terminal is the nth deployment scene, and the weight of the conversation service interaction between the poor sensing access terminal and the accessed existing base station is weighted; wn2The deployment scene of the existing base station accessed by the poor sensing access terminal is the nth deployment scene, and the weight of internet service interaction between the poor sensing access terminal and the accessed existing base station is weighted; c1The value of the call service quality parameter of the poor sensing access terminal; c2The value of the internet service quality parameter of the poor sensing access terminal is obtained; m1Is a standard value of the call service quality; m2The standard value is the standard value of the internet service quality; dnAnd the deployment scene of the existing base station currently accessed by the poor sensing access terminal is the signal coverage maximum distance in the nth deployment scene.
Optionally, the clustering the location of each poor sensing access terminal to obtain the poor sensing area in the to-be-planned area includes:
clustering the position of the poor induction access terminal to obtain a candidate poor induction area in the area to be planned;
and determining the areas with the quantity of the poor sensing access terminals exceeding a preset quantity threshold value from the candidate poor sensing areas as the poor sensing areas.
Optionally, the determining a deployment location of a base station in the poor sensing area includes:
determining the center of the poor sensing area as a deployment position of the base station;
alternatively, the first and second electrodes may be,
and determining the deployment position of the base station according to the distribution position of the poor sensing access terminal in the poor sensing area.
In a second aspect, the present application provides an apparatus for determining a deployment location of a base station, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring historical interaction data between an existing base station and an access terminal in an area to be planned, and the historical interaction data comprises quality parameters of network signals received by the access terminal from the existing base station;
the screening module is used for screening out all poor-sense access terminals of which the quality parameters are lower than a preset threshold value from the access terminals in the area to be planned;
the first determining module is used for determining the position of each poor sensing access terminal according to the deployment scene of the existing base station currently accessed by each poor sensing access terminal;
the clustering module is used for clustering the positions of the poor sensing access terminals to obtain poor sensing areas in the areas to be planned;
and the second determining module is used for determining the deployment position of the base station in the poor sensing area.
Optionally, the apparatus further comprises:
the second acquisition module is used for acquiring the signal coverage maximum distance corresponding to the deployment scene of the existing base station currently accessed by each poor sensing access terminal;
a third determining module, configured to determine a distance attenuation ratio according to a quality parameter value of each bad-sensing access terminal and a corresponding quality standard value, where the corresponding quality standard value is a quality standard value corresponding to a deployment scenario of an existing base station to which the bad-sensing access terminal is currently accessed; and the method is also used for determining the position of each poor sensing access terminal according to the signal coverage farthest distance and the distance attenuation ratio corresponding to each poor sensing access terminal.
In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to perform the method for determining a deployment location of a base station according to any one of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, having stored therein computer-executable instructions, which when executed by a processor, are configured to implement the method for determining a deployment location of a base station according to any one of the first aspect.
According to the method, the device, the equipment and the readable storage medium for determining the deployment position of the base station, historical interactive data between an existing base station and an access terminal in an area to be planned is obtained, and each poor-sensing access terminal with the quality parameter lower than a preset threshold value is screened out from the access terminals in the area to be planned according to the quality parameter of a network signal received by the access terminal from the existing base station in the historical interactive data. And then determining the position of each poor sensing access terminal according to the deployment scene of the existing base station currently accessed by each poor sensing access terminal, and clustering the position of each poor sensing access terminal to obtain a poor sensing area. Finally, in the poor sensing area, the deployment position of the base station is determined. The method and the device have the advantages that the base station position is directly deployed in the poor sensing area where the access terminal senses the network quality is poor, the poor sensing area existing in the area to be planned is reduced from the source, and the communication quality requirement of a user is met. Meanwhile, the subsequent maintenance of the poor sensing area by the operator is avoided, and the labor cost of the operator is saved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;
fig. 2 is a flowchart of a method for determining a deployment location of a base station according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a method for determining locations of poor sensing access terminals according to an embodiment of the present disclosure;
fig. 4 is a flowchart of a method for determining a deployment location of a base station according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a device for determining a deployment location of a base station according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings, in which like numerals refer to the same or similar elements throughout the different views, unless otherwise specified. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The reasonable position arrangement of the base station can improve the network quality received by the access terminal in the network coverage range and bring good network experience to users. In the prior art, when a base station location is deployed in an area to be planned, the base station location is generally deployed in a relatively large number of areas by predicting the number of access terminals in the area to be planned. The number of access terminals in the area to be planned can be predicted by predicting the number of users in the area to be planned. Optionally, the number of users in the area to be planned can be predicted according to the user proportion condition of the operator; the number of users entering the area to be planned can be predicted according to the motion trail of the users accessing the existing base station in the area to be planned; the number of users in the area to be planned and the number of predicted users can be counted by a national statistical bureau, a district administration and the like, and the number of the predicted users is many, which is not illustrated herein.
However, the above method for deploying the base station location only considers the number of access terminals in the area to be planned, but ignores the sensing situation of the access terminal to the network signal, when the network signal is interfered, the interference source may be a pseudo base station or other equipment with interference capability, and the network signal received by the access terminal will be degraded; or, the network signal is blocked, the vicinity of the base station is affected by the high-rise building glass to partially reflect the network signal, the network signal received by the access terminal is also deteriorated, and the network signal is interfered or blocked, so that a poor sensing area is formed near the position of the access terminal. Therefore, the existing method for deploying the base station position has more poor sensing areas in the area to be planned, and cannot meet the communication quality requirement of the user. Secondly, in order to compensate for the network influence caused by the poor sensing area, the operator needs to perform a series of maintenance on the poor sensing area, such as adjusting an antenna angle, expanding a cell, and the like, thereby causing the consumption of labor cost.
Aiming at the problems in the prior art, the sensing condition of the access terminal to the network quality is considered, and each poor sensing access terminal is screened out according to the interaction state of the access terminal and the network signal of the existing base station. And then determining the position of the poor sensing access terminal according to the deployment scene where each poor sensing access terminal is accessed to the existing base station. And finally, clustering the position of the poor sensing access terminal to determine a poor sensing area, and deploying the position of the base station on the poor sensing area. According to the method, the sensing condition of the access terminal to the network quality and the deployment scene of the existing base station are considered, and the position of the base station is directly deployed on the poor sensing area where the access terminal senses the poor network quality, so that the poor sensing area existing in the area to be planned is reduced from the source, and the communication quality requirement of a user is met. Meanwhile, the subsequent maintenance of the poor sensing area by the operator is avoided, and the labor cost of the operator is saved.
Fig. 1 is a schematic diagram of an application scenario to which the present application is applied. As shown in fig. 1, a plurality of existing base stations 101 exist in an area to be planned, and base station deployment positions 103 are determined on a poor-sense area where each terminal 102 has poor reception network quality, according to the network quality of each terminal 102 accessing each existing base station. The specific application scenario of the present application is applicable to the deployment of base station locations, and the base station of the deployment location may be an indoor base station, an outdoor base station, a macro base station, a micro base station, a distributed base station, a radio remote base station, and the like.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
As shown in fig. 2, fig. 2 is a flowchart of a method for determining a deployment location of a base station according to an embodiment of the present application. As shown in fig. 2, the method may include the steps of:
s201, historical interactive data between an existing base station and an access terminal in an area to be planned is obtained, wherein the historical interactive data comprises quality parameters of network signals received by the access terminal from the existing base station.
The implementation subject of the present application may be an operator network management system, such as a server. Before deploying the base station location, the operator first needs to determine the area to be planned where the base station location is to be deployed. The determined source of the region to be planned can be a region with more complaints from users, and can also be a region determined by market development planning, which is not limited herein.
And determining the existing base station in the area to be planned, and acquiring historical interactive data of the existing base station and the terminal accessed to the existing base station, wherein the historical interactive data can be acquired by an operator data management background. Because the access terminal mainly includes a call service and an internet access service when performing network service with the existing base station, the acquired historical interaction data may include call interaction data and internet access interaction data, wherein the interaction data also includes a plurality of quality parameters of the access terminal receiving network signals from the existing base station, the access terminals perform different network services, the specific values of the quality parameters are also different, and the quality parameters include, but are not limited to, signal strength, signal quality, time delay, page response time delay, average pause time, instantaneous rate, reference signal receiving power, signal-to-interference-noise ratio, instantaneous rate, and the like.
S202, screening out all poor-feeling access terminals with quality parameters lower than a preset threshold value from the access terminals in the area to be planned.
In the area to be planned, there may be a plurality of existing base stations, and the number of terminals accessing each existing base station is also large, so it is necessary to screen out the bad feeling access terminals from the access terminals in the area to be planned. The access terminal includes, but is not limited to, a mobile terminal and an internet of things terminal, and any terminal device may be used as long as it can perform a call and surf the internet. For example: the mobile terminal can be a smart phone, a notebook, a tablet computer and the like, and the internet of things terminal can be an automobile-mounted intelligent terminal and the like.
In particular, the method comprises the following steps of,
and determining the interaction state between the access terminal and the existing base station according to the acquired historical interaction data of the access terminal and the existing base station. The interaction state may have five states of "excellent perception, good perception, general perception, poor perception and poor perception", or may have other states, and the application should not be limited herein.
The implementation manner of determining the interaction state may be: and judging a threshold interval in which the quality parameter is positioned according to the quality parameter value in the call interactive data or the internet interactive data of the access terminal, wherein different threshold intervals correspond to different interactive states, thereby determining the interactive state between the access terminal and the existing base station.
For example, when the access terminal a performs a call interaction service with an existing base station, the existing base station performs a determination according to quality parameters, such as signal strength data, signal quality data, and delay data, in the obtained call interaction data and a signal strength threshold, a signal quality threshold, a delay threshold, and the like stored in the existing base station:
when the signal strength value is in the threshold value interval of [ a, b ], the interactive state between the access terminal and the existing base station is indicated as 'perception excellent'; when the signal strength value is in the threshold value interval of [ b, c ], the interactive state between the access terminal and the existing base station is indicated as 'good perception'; when the signal strength value is in the threshold interval of [ c, d ], the interactive state between the access terminal and the existing base station is 'normal sensing'; when the signal strength value is in the threshold interval of [ d, e ], the interactive state between the access terminal and the existing base station is 'poor perception'; when the signal strength value is in the threshold interval of [ e, f ], the interaction state between the access terminal and the existing base station is indicated as 'poor perception'.
If the multiple quality parameters of the access terminal are all in the [ e, f ] threshold interval, the access terminal is a poor-sensing access terminal.
Accordingly, the method can be used for solving the problems that,
for example, when the access terminal a performs internet access interactive service with an existing base station, the existing base station performs determination according to the quality parameters, such as page response delay, average pause duration, instantaneous rate, etc., in the acquired internet access interactive data and the page response delay threshold, average pause duration threshold, instantaneous rate threshold, etc., stored in the existing base station. The specific determination process is consistent with the method for determining that the access terminal belongs to the bad-sense access terminal according to the call interaction data, and is not described herein again.
It should be noted that, regardless of whether the access terminal performs a call service with the existing base station or performs an internet service, as long as the interaction state between the access terminal and the existing base station is determined to be "poor perception" according to the interaction data of any one of the services, it is determined that the access terminal belongs to a poor perception access terminal, and thus a poor perception access terminal is screened from all access terminals in the area to be planned.
S203, determining the position of each poor sensing access terminal according to the deployment scene of the existing base station currently accessed by each poor sensing access terminal.
The primary function of the base station is to provide wireless coverage so that an access terminal can only receive signals from the base station within the coverage of the base station network signals. The strength of the network signal of the base station directly affects the quality of the network quality of the base station received by the access terminal, and the strength of the network signal of the base station has important relation with the service scene of the base station.
When the existing base station is in a wide-view area, the transmission of signals in a wireless communication environment is not affected due to the fact that signal electromagnetic waves are transmitted linearly, the signal intensity is high, and even if the position of the access terminal is far away from the existing base station, the quality of network signals received by the access terminal is still good; when the existing base station is located in a scene of a surrounding tall building group, the transmission of signals is blocked by the buildings, the signals are attenuated due to the blocking of obstacles, the signal strength is weakened, and even if the access terminal is close to the existing base station, the quality of network signals received by the access terminal is still poor. Therefore, when deploying the base station location, the deployment scenario of the existing base station needs to be considered.
And determining the deployment scene of the existing base station from the fixed parameters of the running state of the existing base station in the operator data management background. The deployment scene can be divided into urban villages, industrial parks, residences, colleges and the like.
And determining the position of each poor sensing access terminal according to the poor sensing access terminal screened in the last step and the deployment scene of the existing base station currently accessed by each poor sensing access terminal.
S204, clustering the positions of the poor sensing access terminals to obtain poor sensing areas in the areas to be planned.
Through the steps, the positions of all the poor induction access terminals in the area to be detected can be obtained, and the clustering processing is carried out on the positions of all the poor induction access terminals in the area to be detected through the clustering algorithm to determine the poor induction area.
For example, the positions of all the bad sensing access terminals are used as sample data, the sample points are clustered by using a density clustering algorithm, and the positions of the bad sensing access terminals meeting preset conditions are clustered into a bad sensing area, wherein the preset conditions can be the limitation on the number of the positions or the limitation on the distance between the positions, and the like.
The clustering algorithm is an unsupervised algorithm generally applicable to the field of machine learning at present, the algorithm is used more conventionally, and does not belong to the research focus of the application, and specific reference can be made to related technical documents, which are not repeated herein
S205, in the poor sensing area, determining the deployment position of the base station.
And after the poor sensitivity area in the area to be planned is determined through the steps, deploying the position of the base station in the poor sensitivity area.
In the embodiment of the application, each poor-sense access terminal with a quality parameter lower than a preset threshold value is screened out according to historical interaction data obtained between the existing base station and the access terminal in the area to be planned. And then, according to the deployment scene of the existing base station currently accessed by each poor sensing access terminal, determining the position of each poor sensing access terminal, clustering the position of each poor sensing access terminal to obtain a poor sensing area, and directly deploying the position of the base station on the poor sensing area. Meanwhile, the subsequent maintenance of the poor sensing area by the operator is avoided, and the labor cost of the operator is saved.
Further, on the basis of the step of S203 in the foregoing embodiment, this embodiment specifically describes a process of determining the location of each bad sensing access terminal according to a deployment scenario of an existing base station currently accessed by each bad sensing access terminal. As shown in fig. 3, fig. 3 is a flowchart of a method for determining locations of bad sensing access terminals according to an embodiment of the present application. As shown in fig. 3, the method may include the steps of:
s301, obtaining a signal coverage maximum distance corresponding to a deployment scene of an existing base station currently accessed by each poor sensing access terminal.
And determining the farthest distance which can be covered by the signal corresponding to each access terminal according to the deployment scene of the existing base station currently accessed by each access terminal.
Specifically, a specific numerical value of the farthest distance covered by the existing base station signal is determined from the signal coverage farthest distance set according to a deployment scene corresponding to the existing base station. Wherein, different deployment scenes of the base stations in the set correspond to different signal coverage maximum distances, and specific numerical values of the base stations are obtained by empirical data.
For example, D ═ { D ═ D1,D2,D3,...,DnD represents a signal coverage farthest distance set, n represents an nth deployment scene where the existing base station is located, if n represents a village in the city, and Dn represents the farthest distance which can be covered by the signal of the existing base station when the deployment scene where the existing base station is located is the village in the city.
S302, determining the distance attenuation ratio according to the quality parameter value of each poor induction access terminal and the corresponding quality standard value.
And the corresponding quality standard value is the quality standard value corresponding to the deployment scene of the existing base station currently accessed by the poor induction access terminal.
Specifically, the distance attenuation ratio is determined according to the call service quality parameter value and the call service quality standard value of each bad-sense access terminal, the internet service quality parameter value and the internet service quality standard value.
The call service quality parameter value and the internet service quality parameter value of each poor sensing access terminal can be determined by the current reference signal receiving power, the signal interference noise ratio, the instantaneous rate and the like. The standard value of the call service quality and the standard value of the internet service quality can be obtained by standard reference signal received power, standard signal to interference and noise ratio, standard instantaneous rate and the like.
And S303, determining the position of each poor sensing access terminal according to the maximum signal coverage distance and the distance attenuation ratio corresponding to each poor sensing access terminal.
Specifically, the position of each poor sensing access terminal is determined according to the following distance attenuation formula.
Figure BDA0003381104600000101
Wherein, A represents the distance between the differential access terminal and the existing base station; wn1For the difference to be sensedThe deployment scene of the existing base station accessed by the access terminal is the nth deployment scene, and the weight of conversation service interaction between the poor sensing access terminal and the accessed existing base station is weighted; wn2The deployment scene of the existing base station accessed by the poor sensing access terminal is the nth deployment scene, and the weight of internet service interaction between the poor sensing access terminal and the accessed existing base station is weighted; c1The value of the call service quality parameter of the poor sensing access terminal; c2The value of the internet service quality parameter of the poor sensing access terminal is obtained; m1Is a standard value of the call service quality; m2The standard value is the standard value of the internet service quality; dnAnd the deployment scene of the existing base station currently accessed by the poor sensing access terminal is the signal coverage maximum distance in the nth deployment scene.
In the above formula, Wn1And Wn2The weight can be determined from a weight set according to a deployment scenario of an existing base station and a network service performed by the bad sensing access terminal, wherein the network service includes a call service and an internet service, and a specific value of the weight in the set is obtained by experience.
Exemplarily, W { { W { }11,W12},{W21,W22},...,{Wn1,Wn2}},W11The deployment scene of the existing base station accessed by the poor sensing access terminal is represented as the 1 st deployment scene, and the weight W of the conversation service interaction between the poor sensing access terminal and the accessed existing base station12The deployment scene of the existing base station accessed by the poor sensing access terminal is represented as a deployment scene 1, and the weight W of the interaction of the internet access service between the poor sensing access terminal and the accessed existing base stationn1The deployment scene of the existing base station accessed by the poor sensing access terminal is represented as the nth deployment scene, and the weight W of the conversation service interaction between the poor sensing access terminal and the accessed existing base stationn2And indicating that the deployment scene of the existing base station accessed by the poor sensing access terminal is the nth deployment scene, and the weight of internet service interaction between the poor sensing access terminal and the accessed existing base station is the nth deployment scene, wherein n indicates the nth deployment scene where the existing base station is located. For example, if the access terminal accessesThe existing base station deployment scene is urban village, and the access terminal is in communication service, the weight determined from the weight set is W11
C1Reference signal received power/optimum reference signal received power + signal to interference and noise ratio/optimum signal to interference and noise ratio + … + instantaneous rate/optimum instantaneous rate.
It should be noted that the reference signal received power, the signal to interference noise ratio, the instantaneous rate, and the like are quality parameters in the call interaction data when the bad-sense access terminal performs the call service. C2Computing method and C1The same is true, except that the reference signal receiving power, the signal to interference and noise ratio, the instantaneous rate, etc. are quality parameters in the internet access interactive data when the poor sensing access terminal performs the internet access service.
Further, by the step S303, the distance between each poor sensing access terminal and the existing access base station can be obtained, and then the location of each poor sensing access terminal is determined according to the azimuth angle and the longitude and latitude of the existing access base station, wherein the azimuth angle and the longitude and latitude of the existing base station can be obtained through the fixed parameters of the operation state of the existing base station, the longitude and latitude information of the existing base station can be acquired through the GPS technology, and the specific acquisition mode can refer to the relevant files, which is not described herein again.
To facilitate understanding of the above process, a process of determining the location of the bad sense access terminal is illustrated: if the distance between the bad sense access terminal and the existing base station is calculated to be 250 meters according to the above formula, at this time, the position of the bad sense access terminal may be located at any point on a circle formed by taking the accessed existing base station as a center and taking 250 meters as a radius. Then, according to the accessed existing base station cell parameters, if the azimuth angle of the accessed base station cell is determined to be 60 degrees, the corresponding position can fall on the central area corresponding to the azimuth angle of the base station cell. Therefore, the finally determined position of the poor sensing access terminal is a position point corresponding to the distance by taking the accessed existing base station as a central point, taking the 60-degree azimuth angle as a ray and taking 250 meters as a distance.
It should be noted that the distance and the azimuth may change along with the movement of the bad sensing access terminal, and since the coverage area of the existing base station is distributed in sectors, the location of the bad sensing access terminal determined by the above method is a certain approximate location interval and is not an accurate location.
In the embodiments of the present application, the position of each of the bad sensing access terminals is determined by obtaining the farthest distance covered by the signal corresponding to the deployment scene of the existing base station to which each of the bad sensing access terminals is currently accessed, and determining the distance attenuation ratio according to the call service quality parameter value, the call service quality standard value, the internet service quality parameter value, and the internet service quality standard value of each of the bad sensing access terminals, so as to prepare for determining the bad sensing area according to the position of the bad sensing access terminal in the next step.
Further, on the basis of the foregoing embodiments, as shown in fig. 4, fig. 4 is a flowchart of a method for determining a deployment location of a base station according to an embodiment of the present application. As shown in fig. 4, the method may be implemented by:
s401, clustering the position of the poor sensing access terminal to obtain a candidate poor sensing area in the area to be planned;
after the positions of the poor sensing access terminals are determined through the flow chart shown in fig. 3, clustering is performed on the positions of the poor sensing access terminals through a clustering algorithm, and the positions of the poor sensing access terminals, the distances between the positions of the poor sensing access terminals are within the range of the preset distance threshold value, and the number of the poor sensing access terminals is larger than the number of the preset threshold value, are clustered into a poor sensing area. Through this step, a plurality of candidate poor feeling regions in the region to be planned are obtained.
S402, determining the area with the number of the poor sensing access terminals exceeding a preset number threshold from the candidate poor sensing areas as the poor sensing area.
After a plurality of candidate poor induction areas in the area to be planned are obtained, the poor induction area of the position of the deployed base station is determined from the candidate poor induction areas.
Optionally, the determining principle may be that whether the number of the poor sensing access terminals exceeds a preset number threshold, and if the number of the poor sensing access terminals in the candidate poor sensing area exceeds the preset number threshold and the position of the poor sensing access terminal meets the construction condition of the base station, determining the candidate poor sensing area as the poor sensing area for deploying the position of the base station. The construction conditions can be whether the base station meets the construction requirements of a supporting facility machine room during construction, whether the machine room can reach the antenna erection height under the condition that the machine room meets the requirements, whether the shadow effect influence of the floor exists, and the like.
Further, determining the center of the poor sensing area as a base station deployment position; or determining the deployment position of the base station according to the distribution position of the poor sensing access terminal in the poor sensing area.
The method for determining the center of the poor sensing area as the deployment position of the base station is simpler in implementation, but the problem that the position is not accurate may exist. Although the manner of determining the deployment position of the base station according to the distribution position of the poor sensing access terminal in the poor sensing area is increased in the process, the position is more accurate, for example, the deployment position of the base station may be determined at a position where the distribution position of the poor sensing access terminal in the poor sensing area is more concentrated, optionally, the manner of determining the position where the distribution position is more concentrated may be performed by clustering, and the like, which is not described herein again.
In the embodiment of the application, the poor sensing areas are determined by clustering the positions of the poor sensing access terminals, and the positions of the base stations are directly deployed in the poor sensing areas, so that the poor sensing areas existing in the areas to be planned are reduced from the source, and the communication quality requirements of users are met. Meanwhile, the subsequent maintenance of the poor sensing area by the operator is avoided, and the labor cost of the operator is saved.
Fig. 5 is a schematic structural diagram of a device for determining a deployment location of a base station according to an embodiment of the present application. As shown in fig. 5, the apparatus includes: the system comprises a first obtaining module 501, a screening module 502, a first determining module 503, a cluster processing module 504 and a second determining module 505.
A first obtaining module 501, configured to obtain historical interaction data between an existing base station and an access terminal in a region to be planned, where the historical interaction data includes a quality parameter of a network signal received by the access terminal from the existing base station;
a screening module 502, configured to screen out, from the access terminals in the area to be planned, each poor-sensing access terminal whose quality parameter is lower than a preset threshold;
a first determining module 503, configured to determine, according to a deployment scenario of an existing base station to which each of the poor sensing access terminals currently accesses, a location of each of the poor sensing access terminals;
a clustering module 504, configured to perform clustering on the location of each poor sensing access terminal to obtain a poor sensing region in the region to be planned;
a second determining module 505, configured to determine a base station deployment location in the poor sensing area.
Optionally, the device for determining a deployment location of a base station provided by the present application further includes a second obtaining module and a second determining module.
The second acquisition module is used for acquiring the signal coverage maximum distance corresponding to the deployment scene of the existing base station currently accessed by each poor sensing access terminal.
The third determining module is used for determining the distance attenuation ratio according to the quality parameter value of each poor sensing access terminal and the corresponding quality standard value, wherein the corresponding quality standard value is the quality standard value corresponding to the deployment scene of the existing base station currently accessed by the poor sensing access terminal; and the method is also used for determining the position of each poor sensing access terminal according to the signal coverage farthest distance and the distance attenuation ratio corresponding to each poor sensing access terminal.
Fig. 6 is a schematic structural diagram of an electronic device provided in the present application. As shown in fig. 6, the apparatus may include: at least one transceiver 601, a processor 602, and a memory 603. Fig. 6 shows an electronic device as an example of a processor.
The memory 603 is used for storing programs. In particular, the program may include program code including computer operating instructions.
The memory 603 may comprise a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 602 is configured to execute the computer-executable instructions stored in the memory 603, and control the receiving and sending actions of the transceiver 601 to implement the method for determining the deployment location of the base station;
the processor 602 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the embodiments of the present Application, and the processor 602 executes instructions stored in the memory 603 to implement the method for determining the deployment location of the base station.
Alternatively, in a specific implementation, if the receiver 601, the processor 602 and the memory 603 are implemented independently, the receiver 601, the processor 602 and the memory 603 may be connected to each other through a bus and may complete communication therebetween. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. Buses may be classified as address buses, data buses, control buses, etc., but not as having only one bus or type of bus.
Alternatively, in a specific implementation, if the receiver 601, the processor 602, and the memory 603 are implemented on a single chip, the receiver 601, the processor 602, and the memory 603 may complete communication through an internal interface.
The present application also provides a computer-readable storage medium, which may include: the base station deployment location determining apparatus includes various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The present application also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the electronic device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the electronic device to implement the methods provided by the various embodiments described above.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A method for determining a deployment location of a base station, comprising:
acquiring historical interactive data between an existing base station and an access terminal in an area to be planned, wherein the historical interactive data comprises quality parameters of network signals received by the access terminal from the existing base station;
screening out all poor-feeling access terminals of which the quality parameters are lower than a preset threshold value from the access terminals in the area to be planned;
determining the position of each poor sensing access terminal according to the deployment scene of the existing base station currently accessed by each poor sensing access terminal;
clustering the positions of the poor induction access terminals to obtain poor induction areas in the areas to be planned;
and determining the deployment position of the base station in the poor sensing area.
2. The method of claim 1, wherein the determining the location of each bad sensing access terminal according to a deployment scenario of an existing base station currently accessed by each bad sensing access terminal comprises:
acquiring a signal coverage maximum distance corresponding to a deployment scene of an existing base station currently accessed by each poor sensing access terminal;
determining a distance attenuation ratio according to the quality parameter value of each poor sensing access terminal and a corresponding quality standard value, wherein the corresponding quality standard value is the quality standard value corresponding to a deployment scene of an existing base station currently accessed by the poor sensing access terminal;
and determining the position of each poor sensing access terminal according to the signal coverage farthest distance and the distance attenuation ratio corresponding to each poor sensing access terminal.
3. The method of claim 2, wherein the historical interaction data comprises call service interaction data and internet service interaction data;
the determining the distance attenuation ratio according to the quality parameter value of each poor sensing access terminal and the corresponding quality standard value comprises the following steps:
and determining the distance attenuation ratio according to the call service quality parameter value, the call service quality standard value, the internet service quality parameter value and the internet service quality standard value of each poor induction access terminal.
4. The method of claim 3, wherein determining the position of each poor sensing access terminal according to the maximum signal coverage distance and the distance attenuation ratio corresponding to each poor sensing access terminal comprises:
determining the position A of each poor sensing access terminal by adopting the following formula:
Figure FDA0003381104590000021
wherein, Wn1Deployment field of existing base station for accessing the poor sensing access terminalThe scene is the nth deployment scene and the weight of the conversation service interaction between the poor sensing access terminal and the accessed existing base station; wn2The deployment scene of the existing base station accessed by the poor sensing access terminal is the nth deployment scene, and the weight of internet service interaction between the poor sensing access terminal and the accessed existing base station is weighted; c1The value of the call service quality parameter of the poor sensing access terminal; c2The value of the internet service quality parameter of the poor sensing access terminal is obtained; m1Is a standard value of the call service quality; m2The standard value is the standard value of the internet service quality; dnAnd the deployment scene of the existing base station currently accessed by the poor sensing access terminal is the signal coverage maximum distance in the nth deployment scene.
5. The method according to any one of claims 1 to 4, wherein the clustering the locations of the poor sensing access terminals to obtain the poor sensing areas in the area to be planned comprises:
clustering the position of the poor induction access terminal to obtain a candidate poor induction area in the area to be planned;
and determining the areas with the quantity of the poor sensing access terminals exceeding a preset quantity threshold value from the candidate poor sensing areas as the poor sensing areas.
6. The method according to any one of claims 1-4, wherein determining a base station deployment location in the poor sensitivity zone comprises:
determining the center of the poor sensing area as a deployment position of the base station;
alternatively, the first and second electrodes may be,
and determining the deployment position of the base station according to the distribution position of the poor sensing access terminal in the poor sensing area.
7. An apparatus for determining a deployment location of a base station, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring historical interaction data between an existing base station and an access terminal in an area to be planned, and the historical interaction data comprises quality parameters of network signals received by the access terminal from the existing base station;
the screening module is used for screening out all poor-sense access terminals of which the quality parameters are lower than a preset threshold value from the access terminals in the area to be planned;
the first determining module is used for determining the position of each poor sensing access terminal according to the deployment scene of the existing base station currently accessed by each poor sensing access terminal;
the clustering module is used for clustering the positions of the poor sensing access terminals to obtain poor sensing areas in the areas to be planned;
and the second determining module is used for determining the deployment position of the base station in the poor sensing area.
8. The apparatus of claim 7, further comprising:
the second acquisition module is used for acquiring the maximum signal coverage distance corresponding to the deployment scene of the existing base station currently accessed by each poor sensing access terminal;
a third determining module, configured to determine a distance attenuation ratio according to a quality parameter value of each bad-sensing access terminal and a corresponding quality standard value, where the corresponding quality standard value is a quality standard value corresponding to a deployment scenario of an existing base station to which the bad-sensing access terminal is currently accessed; and the method is also used for determining the position of each poor sensing access terminal according to the signal coverage farthest distance and the distance attenuation ratio corresponding to each poor sensing access terminal.
9. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory to implement the method of any of claims 1 to 6.
10. A computer-readable storage medium having stored thereon computer-executable instructions for implementing the method of determining the deployment location of a base station according to any one of claims 1 to 6 when executed by a processor.
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