CN116193455B

CN116193455B - Base station site selection method and device

Info

Publication number: CN116193455B
Application number: CN202211676126.1A
Authority: CN
Inventors: 曹文鹏; 何春霞; 林秋爽; 刘海明
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-12-26
Filing date: 2022-12-26
Publication date: 2024-03-29
Anticipated expiration: 2042-12-26
Also published as: CN116193455A

Abstract

The application provides a base station site selection method and device, which relate to the technical field of communication and can reduce the influence of external interference on a base station to be built and improve the network quality and user perception when determining the site of the base station to be built. The method comprises the following steps: acquiring a plurality of performance indexes of a cell of an established base station in m distance ranges and n interference level ranges; wherein m is more than or equal to 1, and n is more than or equal to 1; weighting a plurality of performance indexes in the same distance range and the same interference level range to obtain (m x n) weighted results; the (i, j) th weighting result is a weighting result corresponding to a plurality of performance indexes in a distance range i and an interference level range j, i is more than or equal to 1 and less than or equal to m, and j is more than or equal to 1 and less than or equal to n; and determining the station address of the base station to be built according to the (m) weighted results. The method and the device are used in the planning and site selection process of the base station to be built.

Description

Base station site selection method and device

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a base station location method and apparatus.

Background

The high-speed development of communication technology puts higher demands on the quality of mobile communication networks and user perception. To enhance urban deep coverage and rural wide coverage, operators may strengthen the low frequency network as an underlay network to deploy base stations.

When planning the site of the base station to be built, since a large number of repeater stations installed in villages in cities can cause a large number of external interference to the network, the early morning interference noise and network performance data can be counted to determine the site of the base station to be built, and the base station to be built is not overlapped with the site with strong interference. However, this approach cannot determine the distance between the base station to be built and the base station where different interference levels exist.

Or, the site of the base station to be built can be determined according to the distribution of the base stations, the coverage intensity, the complaint concentration position, the coverage target and the like. However, the site of the base station to be built selected in this way may have strong external interference, affecting network quality and user perception.

Therefore, how to determine the site of the base station to be built so as to reduce the influence of external interference on the base station to be built and improve the network quality and user perception becomes a technical problem to be solved urgently.

Disclosure of Invention

The application provides a base station location method and device, which can reduce the influence of external interference on a base station to be built and improve the network quality and user perception when determining the station address of the base station to be built.

In order to achieve the above purpose, the present application adopts the following technical scheme:

in a first aspect, the present application provides a base station location method, where the method includes: acquiring a plurality of performance indexes of a cell of a first base station in m distance ranges and n interference level ranges; wherein m is more than or equal to 1, and n is more than or equal to 1; the first base station is an established base station; weighting a plurality of performance indexes in the same distance range and the same interference level range to obtain (m x n) weighted results; the (i, j) th weighting result is a weighting result corresponding to a plurality of performance indexes in a distance range i and an interference level range j, i is more than or equal to 1 and less than or equal to m, and j is more than or equal to 1 and less than or equal to n; determining the site of the second base station according to the (m x n) weighted results; wherein the second base station is a base station to be built.

Based on the first aspect, reverse thinking is applied, the interference condition of the base station to be built is evaluated by utilizing the performance indexes of the cells of the established base station in different distances and different interference level ranges, clear judgment basis is provided for the distances of the base stations with different interference levels, effective guidance on the site selection of the base station to be built is realized, external interference is reduced, network quality and user perception are improved, meanwhile, the base station can be prevented from moving due to interference after being established, and a large amount of additional investment is avoided.

In one possible implementation, the values of the performance indexes are adjusted according to the first condition, so that the adjusted performance indexes are obtained; the first condition is that the value of the performance index meets a first threshold value corresponding to the performance index; the value of the performance index meeting the first condition is adjusted to be a first value, and the value of the performance index not meeting the first condition is adjusted to be a second value; the first value is determined according to the weight value corresponding to the performance index; and adding the plurality of adjusted performance indexes in the same distance range and the same interference level range to obtain (m x n) weighted results.

In one possible implementation, the weight value corresponding to each performance index is determined according to the perceived sensitivity level of each performance index.

In a possible implementation, a weighted result in a preset interference level range smaller than or equal to a second threshold value is determined as a first weighted result; and determining the station address of the second base station according to the distance range corresponding to the first weighted result.

In one possible implementation, the performance metrics include one or more of: a voice class indicator and a data class indicator.

In a second aspect, the present application provides a communication device. The communication device may be applied to the functions performed by the first base station in the first aspect or in a possible design of the first aspect. The communication device may be the first base station, or may be a chip or a system on a chip of the first base station, or the like, and the communication device may execute the functions executed by the first base station by using hardware, or may execute corresponding software by using hardware. The hardware or software includes one or more modules corresponding to the functions described above. Such as a transceiver module and a processing module. The receiving and transmitting module is used for acquiring a plurality of performance indexes of a cell of the first base station in m distance ranges and n interference level ranges, wherein m is more than or equal to 1, and n is more than or equal to 1; the processing module is used for carrying out weighting processing on a plurality of performance indexes in the same distance range and the same interference level range to obtain (m) weighted results; the (i, j) th weighting result is a weighting result corresponding to a plurality of performance indexes in a distance range i and an interference level range j, i is more than or equal to 1 and less than or equal to m, and j is more than or equal to 1 and less than or equal to n; the processing module is further used for determining the station address of the second base station according to the (m x n) weighted results; wherein the second base station is a base station to be built.

In one possible implementation, the processing module is further configured to determine a weight value corresponding to each performance index according to the perceived sensitivity level of each performance index.

In a possible implementation, the processing module is further configured to determine, as the first weighted result, a weighted result that is less than or equal to the second threshold in the preset interference level range; and determining the station address of the second base station according to the distance range corresponding to the first weighted result.

In a third aspect, the present application provides a communication device comprising: a processor and a communication interface; the communication interface is coupled to a processor for running a computer program or instructions to implement the base station site selection method and apparatus as described in any one of the possible implementations of the first aspect and the first aspect.

In a fourth aspect, the present application provides a computer readable storage medium having instructions stored therein which, when run on a computer, cause the computer to perform a base station addressing method and apparatus as described in any one of the possible implementations of the first aspect and the first aspect.

Drawings

Fig. 1 is a schematic diagram of a communication system according to an embodiment of the present application;

fig. 2 is a schematic diagram of a communication device according to an embodiment of the present application;

fig. 3 is a schematic diagram of a communication device according to an embodiment of the present application;

fig. 4 is a flowchart of a base station address selection method according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a proposed standard for different indexes according to an embodiment of the present application

FIG. 6 is a schematic diagram of different index output formats according to an embodiment of the present disclosure;

FIG. 7 is a schematic diagram of an output format of a performance index according to an embodiment of the present disclosure;

fig. 8 is a schematic diagram of an embodiment of an uplink voice silence call ratio and an average modulation order of a data service according to an embodiment of the present application;

FIG. 9 is a schematic diagram of a performance index output format according to an embodiment of the present disclosure;

fig. 10 is a schematic diagram of an embodiment of weighting and scoring an average modulation order of an uplink voice silence call ratio and a data service according to an embodiment of the present application;

Fig. 11 is a schematic diagram of a communication device according to an embodiment of the present application;

fig. 12 is a configuration diagram of a communication device according to an embodiment of the present application.

Detailed Description

Prior to describing embodiments of the present application, technical terms related to the embodiments of the present application will be described.

Fourth generation mobile communication technology (the 4th generation mobile communication technology,4G): is a better improvement on the third generation (3 rd-generation, 3G) mobile communication technology, and has a great advantage compared with the 3G communication technology, namely, the wireless local area network (wireless local area networks, WLAN) technology and the 3G communication technology are well combined, so that the signal transmission speed is higher. The 4G communication technology is applied to the intelligent communication equipment, so that the internet surfing speed of the user is faster.

The fifth generation mobile communication technology (5th generation mobile communication technology,5G) is a new generation broadband mobile communication technology with high speed, low time delay and large connection characteristics, and the 5G communication facility is a network infrastructure for realizing man-machine object interconnection.

Repeater (repeater) is a device that connects network lines and is commonly used for bi-directional forwarding of physical signals between two network nodes.

Base station: i.e. a mobile communication base station, which is an interface device for a mobile device (or described as a terminal device) to access a network, and which is a form of a radio station, refers to a radio transceiver station for communicating information with a mobile device through a mobile communication switching center in a certain radio coverage area.

Based on the above description of the base station and the fifth generation mobile communication technology, with the high-speed development of 5G and the application of various new business industries, higher requirements are put forward on the quality and user perception of the mobile communication network, and the 3/4G network is mature and the network coverage is quite perfect; whereas 5G networks have much higher frequencies than 4G, the coverage of 5G is much smaller than 4G. To enhance 5G urban deep coverage and rural wide coverage, four telecom operators strengthen the deployment of low frequency 5G networks as the underlying network, e.g., mobile radio and television can deploy 700M networks, telecom can deploy 800M networks, and Unicom can deploy 900M networks.

Among them, since many cities have a large number of villages in cities, a special dense building pattern in villages in cities results in poor deep coverage. In order to enhance indoor coverage, a repeater is privately installed in a house from the 2G age to enhance indoor signal coverage. With the updating iteration of the mobile communication system, the private repeater in village in city is developed from a single frequency band to 900-2100M full frequency band, and the uplink interference can be caused to the network of the operator because the performance of the components used by the private repeater and the manufacturing process are uneven and are not subjected to professional adjustment. With the market, low price and continuously increasing renting rate of the private repeater, almost every household in many cities and villages private the repeater and check and process the repeater very difficult, and a large amount of external interference is brought to the network of an operator.

For the base station to be built (or can be described as a station to be planned), the statistical network early morning interference background noise and network performance data can be analyzed, the station address of the base station to be built is determined, and the base station to be built is not overlapped for the station address with 4G strong interference.

However, for a newly added base station to be built, the distance between the base station to be built and a base station (or described as a station) with different interference levels cannot be determined. Meanwhile, the data statistical analysis needs to be manually extracted and analyzed from professional webmaster, which is time-consuming and labor-consuming.

Or, for the base station to be built, the site of the base station to be built can be determined according to the distribution of the base station, the coverage intensity, the complaint concentration position, the coverage target and the like. However, after the base station to be built is turned on, strong external interference may exist, which brings great negative influence to network quality and user perception. In addition, when the planned performance and perception of the base station with strong interference are extremely poor, the relocation is often required to be closed, and extra fund investment is increased to influence deployment time.

In summary, how to determine the site of the base station to be built, so as to reduce the influence of external interference on the base station to be built, and improve the network quality and user perception is a technical problem to be solved.

In order to solve the above technical problems, the present application proposes a base station location method, which includes: acquiring a plurality of performance indexes of a cell of a first base station in m distance ranges and n interference level ranges; wherein m is more than or equal to 1, and n is more than or equal to 1; the first base station is an established base station; weighting a plurality of performance indexes in the same distance range and the same interference level range to obtain (m x n) weighted results; the (i, j) th weighting result is a weighting result corresponding to a plurality of performance indexes in a distance range i and an interference level range j, i is more than or equal to 1 and less than or equal to m, and j is more than or equal to 1 and less than or equal to n; determining the site of the second base station according to the (m x n) weighted results; wherein the second base station is a base station to be built.

In the method, reverse thinking is applied, the interference condition of the base station to be built is evaluated by utilizing the performance indexes of the cells of the built base station in different distances and different interference level ranges, clear judgment basis is provided for the distances of the base stations with different interference levels, effective guidance on the site selection of the base station to be built is realized, external interference is reduced, network quality and user perception are improved, meanwhile, the base station can be prevented from moving due to interference after being built, and a large amount of extra investment is avoided.

The method can be used for intelligently evaluating the interference intensity of the to-be-built site area and intelligently analyzing and giving the position of the to-be-built site. The method specifically comprises the following steps: (1) And a database module is arranged to realize the database storage of real-time and historical data of the core network and professional networks of various factories for rapid calling analysis in the subsequent analysis process. (2) And an intelligent analysis module is arranged to replace the manual data performance statistical analysis, interference analysis, station distance analysis and weighting effect evaluation work. Data analysis, whether taking one month or more, is done by a computer. (3) The planned site can well avoid strong external interference, and the site has no external interference or weak external interference after being opened.

The following describes embodiments of the present application in detail with reference to the drawings.

The base station location method provided in the embodiments of the present application may be used in any communication system, which may be a third generation partnership project (third generation partnership project,3 GPP) communication system, for example, a long term evolution (long term evolution, LTE) system, a new air interface (new radio, NR) communication system, a new air interface internet of vehicles (vehicle to everything, NR V2X) system, a system of LTE and 5G hybrid networking, or a non-terrestrial communication network (non-terrestrial network, NTN) system, a device-to-device (D2D) communication system, a machine-to-machine (machine to machine, M2M) communication system, an internet of things (internet ofthings, ioT), and other future communication systems, for example, a future communication system such as a 6G communication system, which may also be a non-3 GPP communication system, without limitation.

A communication system provided in an embodiment of the present application will be described below by taking fig. 1 as an example.

Fig. 1 is a schematic diagram of a communication system provided in an embodiment of the present application, and as shown in fig. 1, the communication system may include a terminal device, a base station (or may also describe an access network device), and a server.

In fig. 1, the terminal device may be located in a coverage area of a cell of the base station, and the terminal device may be connected to the base station in a wireless manner. The terminal device may be a device having a wireless transceiving function or a chip system provided in the device, may allow a user to access a network, and is a device for providing voice and/or data connectivity to the user. The terminal device may also be referred to as a User Equipment (UE), a subscriber unit (subscriber unit), a terminal (terminal) or Mobile Station (MS), or a Mobile Terminal (MT), etc.

By way of example, the terminal device in fig. 1 may be a cellular phone (cellular phone), a smart phone (smart phone), a wireless data card, a mobile phone (mobile phone), a personal digital assistant (personal digital assistant, PDA) computer, a tablet or a wireless transceiver-enabled computer, a wireless modem (modem), a handheld device (handset), a laptop computer (laptop computer). The terminal device may also be a wireless terminal in industrial control, a wireless terminal in unmanned, a wireless terminal in telemedicine, a wireless terminal in smart grid, a wireless terminal in transportation security, a wireless terminal in smart city, a wireless terminal in smart home (smart home), or the like, without limitation.

The base station in fig. 1 may be any device deployed in an access network and capable of performing wireless communication with a terminal device, or described as an access device in which the terminal device accesses a communication system in a wireless manner, or may be a chip or a chip system that may be disposed in the device, and is mainly used for implementing functions such as a wireless physical control function, resource scheduling, wireless resource management, wireless access control, and mobility management. The base station may also be connected to the core network device by wireless or wired means. Specifically, the base station may be a device supporting wired access, or may be a device supporting wireless access.

The base station may be, for example, AN Access Network (AN)/radio access network (radio access network, RAN) device, consisting of a plurality of AN/RAN nodes. The AN/RAN node may be: an Access Point (AP), a macro base station, a micro base station (or described as a small station), a relay station, an enhanced base station (eNB), a next generation eNB (next generation eNB, ng-eNB), a next generation base station (next generation nodeB, gNB), a base station in a 5G communication system, an access node in a future mobile communication system or a wireless-fidelity (WiFi) system, a transmission reception point (transmission reception point, TRP), a transmission point (transmission point, TP), and the like.

The servers in fig. 1 may be independent servers or may be a server cluster formed by a plurality of servers.

For example, as shown in fig. 2, the server may include a data management server (or may also be described as a data storage server, a database, etc.), or the server may also include a data analysis server (or may be described as an intelligent analysis server).

The data management server can be used for realizing the required historical/current network index and the database management (such as statistics, automatic storage, calling and the like) of related data, realizing the real-time and historical data database storage of the core network and the professional networks of each operator, and providing quick calling and analysis for the subsequent analysis process.

For example, as shown in fig. 2, the data management server may store the indexes such as the wireless network performance main index, the wireless network user perception index, the core network user perception index, the wireless network early morning interference noise floor index, and the like. The data management server may also store relevant data needed for distance calculation and cell selection (e.g., whole network cell wireless infrastructure ledgers). And other program modules or servers or communication devices are convenient for carrying out instant call analysis on the data.

The data analysis server can be used for calling and analyzing the data stored in the data management server, replaces manual data performance statistical analysis, interference analysis, station distance analysis and weighting effect evaluation, and can complete data analysis for one month or more, so that time and labor are saved.

For example, as shown in fig. 2, the data analysis server may perform cell analysis with different interference levels, cell performance analysis with the same interference level and different distances, cell performance index weighting analysis with different interference levels and different distances, and so on.

Note that, the base station and the server in the embodiments of the present application may be one or more chips, or may be a System On Chip (SOC) or the like. Fig. 1 is merely an exemplary drawing, which includes no limitation on the number of devices. Furthermore, the communication system may include other devices in addition to the device shown in fig. 1. The names of the devices and the links in fig. 1 are not limited, and the devices and the links may be named as other names besides those shown in fig. 1, without limitation.

In specific implementation, fig. 1 shows as follows: each base station and server may adopt the constituent structure shown in fig. 3 or include the components shown in fig. 3. Fig. 3 is a schematic diagram of a communication device 300 according to an embodiment of the present application, where the communication device 300 may be a terminal device or a chip or a system on a chip in the terminal device; or may be a transceiver module or a processing module chip or a system on a chip. As shown in fig. 3, the communication device 300 includes a processor 301, a transceiver 302, and a communication line 303.

Further, the communication device 300 may also include a memory 304. The processor 301, the memory 304, and the transceiver 302 may be connected by a communication line 303.

The processor 301 is a central processing unit (central processing unit, CPU), a general purpose processor network processor (network processor, NP), a digital signal processor (digital signalprocessing, DSP), a microprocessor, a microcontroller, a programmable logic device (programmable logicdevice, PLD), or any combination thereof. The processor 301 may also be any other device having processing functions, such as, without limitation, a circuit, a device, or a software module.

A transceiver 302 for communicating with other devices or other communication networks. The other communication network may be an ethernet, a radio access network (radio access network, RAN), a wireless local area network (wireless local area networks, WLAN), etc. The transceiver 302 may be a module, circuitry, transceiver, or any device capable of enabling communications.

A communication line 303 for transmitting information between the components included in the communication apparatus 300.

Memory 304 for storing instructions. Wherein the instructions may be computer programs.

The memory 304 may be, but not limited to, a read-only memory (ROM) or other type of static storage device capable of storing static information and/or instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device capable of storing information and/or instructions, an EEPROM, a CD-ROM (compact disc read-only memory) or other optical disk storage, an optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, etc.

It should be noted that the memory 304 may exist separately from the processor 301 or may be integrated with the processor 301. Memory 304 may be used to store instructions or program code or some data, etc. The memory 304 may be located in the communication device 300 or may be located outside the communication device 300, without limitation. The processor 301 is configured to execute the instructions stored in the memory 304, so as to implement a base station address selection method provided in the following embodiments of the present application.

In one example, processor 301 may include one or more CPUs, such as CPU0 and CPU1 in fig. 3.

As an alternative implementation, the communication device 300 includes multiple processors, e.g., in addition to the processor 301 in fig. 3, a processor 307 may be included.

As an alternative implementation, the communication apparatus 300 further comprises an output device 305 and an input device 306. Illustratively, the input device 306 is a keyboard, mouse, microphone, or joystick device, and the output device 305 is a display screen, speaker (spaker), or the like.

It should be noted that the communication apparatus 300 may be a desktop computer, a portable computer, a web server, a mobile phone, a tablet computer, a wireless terminal, an embedded device, a chip system, or a device having a similar structure as in fig. 3. Further, the constituent structure shown in fig. 3 does not constitute a limitation of the communication apparatus, and the communication apparatus may include more or less components than those shown in fig. 3, or may combine some components, or may be arranged in different components, in addition to those shown in fig. 3.

In the embodiment of the application, the chip system may be formed by a chip, and may also include a chip and other discrete devices.

Further, actions, terms, etc. referred to between embodiments of the present application may be referred to each other without limitation. In the embodiment of the present application, the name of the message or the name of the parameter in the message, etc. interacted between the devices are only an example, and other names may also be adopted in the specific implementation, and are not limited.

In connection with the communication system shown in fig. 1, referring to fig. 4, a base station location method according to an embodiment of the present application is described, where processing performed by a single execution entity (base station, server) shown in an embodiment of the present application may also be divided into a plurality of execution entities, and these execution entities may be logically and/or physically separated, without limitation.

Fig. 4 is a flowchart of a base station location method provided in an embodiment of the present application, and as shown in fig. 4, the method may include:

step 401, a server obtains a plurality of performance indexes of a cell of a first base station in m distance ranges and n interference level ranges.

Wherein m is more than or equal to 1, and n is more than or equal to 1; the first base station may be an established base station.

Optionally, the server is the data analysis server.

Optionally, the data management server may use the first base station as an origin, count performance indexes of all cells in circles or circles of different distance segments, and the data analysis server may obtain, by calling, multiple performance indexes of the cells of the first base station in m distance ranges and n interference level ranges.

The first base station may be a single 4G-L1800 station, for example.

By way of example, the performance indicators may include one or more of the following: the wireless network performance main index, the wireless network user perception index, the core network user perception index, the wireless network early morning interference background noise index, the 4G whole network cell wireless account and the like.

Wherein the index may include one or more of the following: voice class indicators, data class indicators, etc.

For example, as shown in fig. 5, the voice class indicator that is greatly affected by the uplink interference may include one or more of the following: the data class indicator may include one or more of a data traffic average modulation order, a data traffic uplink rate, a data traffic channel error rate, and a data traffic uplink retransmission rate.

Alternatively, the recommendation criteria may be determined in combination with daily assessment criteria and optimization experience.

Alternatively, the interference level may be divided according to the strength of the signal, to obtain n interference level ranges.

Illustratively, as shown in (a) of fig. 6, the interference level may be divided into five interference level ranges according to the strength of the signal, and the five interference level ranges may be: less than-110 dBm, …, -90dBm.

Alternatively, the distance may be divided in units of a certain length (for example, in units of meters), to obtain m distance ranges.

By way of example, as shown in fig. 6 (b), the distance may be divided in meters, resulting in 7 distance ranges, which may be: a circle with a radius less than 300 meters, …, a ring with a radius greater than 1000 meters.

Alternatively, based on the above description of the interference level range, the distance range, and the performance index, the server may choose to statistically analyze the performance index for 1 month or N months.

For example, the output format of the performance index may be a format as shown in fig. 7, in which each value of 5 may be a specific value of the performance index in a different range of distances and a different range of interference levels.

For example, taking the voice class indicator as an uplink voice mute call ratio as an example, as shown in (a) of fig. 8, specific values of the uplink voice mute call ratio in different distance ranges and different interference level ranges may be represented. For another example, taking the data class indicator as an average modulation order of the data traffic as an example, as shown in (b) of fig. 8, a specific value of the average modulation order 0 of the data traffic in different distance ranges and different interference level ranges may be represented.

In fig. 8, the blank space is cell statistics that do not satisfy the requirement.

Based on the example shown in fig. 8, it can be seen that the closer to the interfering station (e.g., the first base station), the worse the performance index, the greater the interference level strength and the worse the performance index.

In step 402, the server performs weighting processing on a plurality of performance indexes 5 in the same distance range and the same interference level range, so as to obtain (m×n) weighted results.

The (i, j) th weighting result may be weighting results corresponding to a plurality of performance indexes in a distance range i and an interference level range j, i is greater than or equal to 1 and less than or equal to m, and j is greater than or equal to 1 and less than or equal to n.

Alternatively, the server may weight each performance indicator according to suggested criteria.

For example, the values of the performance indexes can be adjusted according to the first condition to obtain the performance index of 0 after adjustment; and adding the plurality of adjusted performance indexes in the same distance range and the same interference level range to obtain (m x n) weighted results.

The first condition may be that the value of the performance index meets a first threshold value corresponding to the performance index; the value of the performance index meeting the first condition is adjusted to be a first value, and the value of the performance index not meeting the first condition is adjusted to be a second value; the first value is determined according to the weight value corresponding to the performance index.

And 5, according to the recommended standard, different weights can be adopted according to planning requirements through the performances of the first base station on different interference levels and distances from the nearest interference point in the cell.

Optionally, the weight value corresponding to each performance index may be determined according to the perceived sensitivity degree of each performance index.

For example, taking voice service as an example, since voice service perception is relatively sensitive, the weight of the voice class index 0 may be set to 100%, and 1 score of the recommended standard is not reached, and 0 score of the recommended standard is reached. The first condition may be that the value of the voice index is smaller than a recommended standard, the recommended standard may be a first threshold, the first value may be 1 score, and the second value may be 0 score.

For another example, taking data traffic as an example, since data traffic perception is relatively insensitive, the weight of the data class indicator may be set to 80%, not reaching the recommended standard score of 0.8, and reaching the recommended standard score of 0. The first condition may be that the value of the data class indicator is smaller than a recommended standard, the recommended standard may be a first threshold, the first value may be 0.8 score, and the second value may be 0 score.

Illustratively, as shown in fig. 5, taking the voice class index and the data class index as examples, the scoring of 5 voice class indexes and 4 data class indexes can be performed by referring to the scoring standard, and finally, the scores corresponding to different interference levels and different distances in 9 indexes are added to obtain a weighted result.

Alternatively, the output format of the adjusted performance index may be a format as shown in (a) of fig. 9, where each value may be a specific value of the adjusted performance index in a different distance range and a different interference level range. The output format of the weighted result may be a format as shown in (b) of fig. 9, in which each value may be a specific value of the weighted result in a different distance range and a different interference level range.

For example, taking the voice class indicator as an uplink voice mute call ratio as an example, as shown in (a) of fig. 10, specific values of the adjusted uplink voice mute call ratio in different distance ranges and different interference level ranges may be shown.

For another example, taking the data class indicator as an average modulation order of the data traffic as an example, as shown in (b) of fig. 10, specific values of the average modulation order of the data traffic after adjustment may be shown in different distance ranges and different interference level ranges.

As another example, as shown in (c) of fig. 10, specific values of the weighting result may be represented in different distance ranges and different interference level ranges.

Step 403, the server determines the site of the second base station according to the (m×n) weighted results.

The second base station may be a base station to be built.

Optionally, a weighted result in the preset interference level range which is smaller than or equal to the second threshold value may be determined as the first weighted result; and determining the station address of the second base station according to the distance range corresponding to the first weighted result.

Alternatively, the lower the weighting result, the less interference impact; the higher the weighting result, the greater the interference impact.

For example, as shown in fig. 9, taking the value of the second threshold as 5 as an example, it may be recommended that the total score be less than 5 minutes as the site selection criterion.

For example, taking the interference level range of-102 as the interference definition limit as an example, the site of the second base station needs to be more than 800 meters from the first base station; taking the interference level range-105 as an example of the interference definition limit, the site of the second base station needs to be more than 600 meters from the first base station.

In the embodiment of the application, the result of selecting the plan under different weights can be obtained by adjusting different weight proportions. And collecting information by using the established base stations, and counting the performance indexes of all cells in circles or circles of different distance sections. By weighting and scoring the performance indexes, the distance from the first base station with different interference base noise can be determined, and the second base station can be built, so that the performance indexes and the user perception can be basically ensured.

In the embodiment of the application, the performance of the second base station (such as an NR900 station) to be deployed in the external interference network is evaluated by counting the performance indexes of stations with different interference base noise and stations with different distances in the network by using reverse thinking, so that clear judgment basis is provided for the distances of stations with different interference levels when planning the site selection of the second base station, the planned second base station can well avoid strong external interference, so that the second base station basically has no external interference or weak external interference after being opened, and is prevented from being moved after being established, thereby ensuring the network quality and user perception, and avoiding a large amount of additional investment.

The embodiment of the application may divide the functional modules of each device according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.

In the case where respective functional modules are divided with corresponding respective functions, fig. 11 shows a communication apparatus which can perform actions of a server.

The communication device 110 may include a transceiver module 1101 and a processing module 1102. The communication device 110 may be a communication apparatus, a chip applied to the communication apparatus, or other combination devices, components, etc. having the functions of the communication device. When the communication apparatus 110 is a communication device, the transceiver module 1101 may be a transceiver, which may include an antenna, radio frequency circuits, and the like; the processing module 1102 may be a processor (or processing circuitry), such as a baseband processor, which may include one or more CPUs. When the communication device 110 is a component having the above-described communication device function, the transceiver module 1101 may be a radio frequency unit; the processing module 1102 may be a processor (or processing circuit), such as a baseband processor. When the communication device 110 is a system-on-chip, the transceiver module 1101 may be an input-output interface of a chip (e.g., a baseband chip); the processing module 1102 may be a processor (or processing circuit) of a system-on-chip and may include one or more central processing units. It should be appreciated that the transceiver module 1101 in embodiments of the present application may be implemented by a transceiver or transceiver-related circuit components; the processing module 1102 may be implemented by a processor or processor-related circuit component (alternatively referred to as a processing circuit).

For example, the transceiver module 1101 may be used to perform all of the transceiving operations performed by the communication device in the embodiments illustrated in fig. 4-9, and/or other processes for supporting the techniques described herein; the processing module 1102 may be used to perform all but the transceiving operations performed by the communication device in the embodiments illustrated in fig. 4-9, and/or other processes for supporting the techniques described herein.

As yet another implementation, the transceiver module 1101 in fig. 11 may be replaced by a transceiver, which may integrate the functions of the transceiver module 1101; the processing module 1102 may be replaced by a processor that may integrate the functionality of the processing module 1102. Further, the communication device 110 shown in fig. 11 may also include a memory.

Alternatively, when the processing module 1102 is replaced by a processor and the transceiver module 1101 is replaced by a transceiver, the communication device 110 according to the embodiment of the present application may also be the communication device 120 shown in fig. 12, where the processor may be the logic circuit 1201 and the transceiver may be the interface circuit 1202. Further, the communication device 120 shown in fig. 12 may further include a memory 1203.

Embodiments of the present application also provide a computer program product which, when executed by a computer, may implement the functions of any of the method embodiments described above.

The present application also provides a computer program, which when executed by a computer, can implement the functions of any of the method embodiments described above.

Embodiments of the present application also provide a computer-readable storage medium. All or part of the flow in the above method embodiments may be implemented by a computer program to instruct related hardware, where the program may be stored in the above computer readable storage medium, and when the program is executed, the program may include the flow in the above method embodiments. The computer readable storage medium may be an internal storage unit of the terminal (including the data transmitting end and/or the data receiving end) of any of the foregoing embodiments, for example, a hard disk or a memory of the terminal. The computer readable storage medium may be an external storage device of the terminal, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash card (flash card), or the like, which are provided in the terminal. Further, the computer-readable storage medium may further include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing the computer program and other programs and data required by the terminal. The above-described computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

It should be noted that the terms "first" and "second" and the like in the description, claims and drawings of the present application are used for distinguishing between different objects and not for describing a particular sequential order. The terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.

Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

It should be understood that in this application, "at least one" means one or more. "plurality" means two or more. "at least two (items)" means two or three and more. And/or, for describing the association relationship of the association object, means that three relationships may exist. For example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c, or at least one (one) of a, b, and c, may represent: a. b, c, "a and b", "a and c", "b and c" or "a and b and c", wherein a, b, c may be single or plural. The terms "… …" and "if" refer to a process that is performed under an objective condition, and are not intended to be limiting, nor are they intended to require a judgment in terms of implementation, nor are they intended to be limiting.

In the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or implementation described as "exemplary" or "e.g." in this application embodiment is not to be taken as preferred or advantageous over other embodiments or implementations. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion that may be readily understood.

From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and the parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be embodied in essence or all or part of the technical solution in the form of a software product stored in a storage medium, where the software product includes several instructions to cause a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

Claims

1. A method of base station site selection, the method comprising:

acquiring a plurality of performance indexes of a cell of a first base station in m distance ranges and n interference level ranges; wherein m is more than or equal to 1, and n is more than or equal to 1; the first base station is an established base station;

adjusting the value of each performance index according to the first condition to obtain an adjusted performance index; the first condition is that the value of the performance index meets a first threshold value corresponding to the performance index; the value of the performance index meeting the first condition is adjusted to be a first value, and the value of the performance index not meeting the first condition is adjusted to be a second value; the first value is determined according to the weight value corresponding to the performance index;

adding the plurality of adjusted performance indexes in the same distance range and the same interference level range to obtain (m x n) weighted results; the (i, j) th weighting result is a weighting result corresponding to a plurality of performance indexes in a distance range i and an interference level range j, i is more than or equal to 1 and less than or equal to m, and j is more than or equal to 1 and less than or equal to n;

determining the site of the second base station according to the (m x n) weighted results; wherein the second base station is a base station to be built.

2. The method according to claim 1, wherein the method further comprises:

and determining the weight value corresponding to each performance index according to the perceived sensitivity degree of each performance index.

3. The method according to claim 1 or 2, wherein determining the site of the second base station based on the (m x n) weighted results comprises:

determining a weighted result which is smaller than or equal to a second threshold value in a preset interference level range as a first weighted result;

and determining the station address of the second base station according to the distance range corresponding to the first weighted result.

4. A method according to claim 1 or 2, characterized in that,

the performance indicators include one or more of the following: a voice class indicator and a data class indicator.

5. A communication device, comprising:

the receiving and transmitting module is used for acquiring a plurality of performance indexes of the cell of the first base station in m distance ranges and n interference level ranges; wherein m is more than or equal to 1, and n is more than or equal to 1; the first base station is an established base station;

the processing module is used for adjusting the values of the performance indexes according to the first condition to obtain the adjusted performance indexes; the first condition is that the value of the performance index meets a first threshold value corresponding to the performance index; the value of the performance index meeting the first condition is adjusted to be a first value, and the value of the performance index not meeting the first condition is adjusted to be a second value; the first value is determined according to the weight value corresponding to the performance index;

The processing module is further configured to add multiple adjusted performance indexes in the same distance range and the same interference level range to obtain (m×n) weighted results; the (i, j) th weighting result is a weighting result corresponding to a plurality of performance indexes in a distance range i and an interference level range j, i is more than or equal to 1 and less than or equal to m, and j is more than or equal to 1 and less than or equal to n;

the processing module is further configured to determine a site of the second base station according to the (m×n) weighted results; wherein the second base station is a base station to be built.

6. The apparatus of claim 5, wherein the device comprises a plurality of sensors,

the processing module is further used for determining weight values corresponding to the performance indexes according to the perceived sensitivity degree of the performance indexes.

7. The apparatus according to claim 5 or 6, characterized in that the processing module is further configured in particular to:

8. The apparatus of claim 5 or 6, wherein the device comprises a plurality of sensors,

9. A communication device, comprising: a processor and a communication interface; the communication interface being coupled to the processor for running a computer program or instructions to implement a base station site selection method as claimed in any one of claims 1 to 4.

10. A computer readable storage medium having instructions stored therein, characterized in that when executed by a computer, the computer performs the base station addressing method of any of the preceding claims 1-4.