CN117319979A

CN117319979A - Emergency base station planning method, device, medium and electronic equipment

Info

Publication number: CN117319979A
Application number: CN202210708441.1A
Authority: CN
Inventors: 黄毅华; 卢洪涛; 许向东; 李建光; 宋捷
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2022-06-21
Filing date: 2022-06-21
Publication date: 2023-12-29

Abstract

The disclosure provides an emergency base station planning method, an emergency base station planning device, a medium and electronic equipment, and relates to the technical field of wireless communication. The emergency base station planning method comprises the following steps: acquiring current coverage information and current user distribution information of a conventional base station; determining a predicted coverage range corresponding to each candidate emergency base station parameter set by using the current coverage information and the plurality of candidate emergency base station parameter sets; determining a predicted service user quantity corresponding to each candidate emergency base station parameter set by using the current user distribution information and the plurality of candidate emergency base station parameter sets; determining a base station service performance index value corresponding to each candidate emergency base station parameter set according to the predicted coverage range and the predicted service user quantity corresponding to each candidate emergency base station parameter set; and determining a candidate emergency base station parameter set corresponding to the maximum performance index value from the plurality of base station service performance index values as a target emergency base station parameter set. The method and the device improve the adaptation degree of the determined emergency base station parameters and the emergency scene.

Description

Emergency base station planning method, device, medium and electronic equipment

Technical Field

The present disclosure relates to the field of wireless communications, and in particular, to an emergency base station planning method, an emergency base station planning apparatus, a computer readable storage medium, and an electronic device.

Background

In the mobile communication process, when special or emergency situations occur, for example, the normal base station operates abnormally, or the traffic of people suddenly increases, the normal mobile communication in the emergency situations can be ensured by using the normal base station.

In the related technology, when an emergency scene appears before, the distribution condition of users and the operation condition of the conventional base station can be utilized to predict the deployment parameters of the conventional base station in the emergency scene, and when the same emergency scene appears, the emergency base station is deployed according to the predicted deployment parameters.

However, an emergency base station deployed according to the emergency base station deployment scheme provided in the related art may present unreasonable emergency base station planning.

Disclosure of Invention

The disclosure provides an emergency base station planning method, an emergency base station planning device, a medium and electronic equipment, so that the adaptation degree of determined emergency base station parameters and emergency scenes and the communication service quality under emergency conditions are improved.

According to a first aspect of the present disclosure, there is provided an emergency base station planning method, including:

acquiring current coverage information and current user distribution information of a conventional base station;

determining a predicted coverage corresponding to each candidate emergency base station parameter set by using the current coverage information and the plurality of candidate emergency base station parameter sets;

Determining predicted service user quantity corresponding to each candidate emergency base station parameter set by utilizing the current user distribution information and the plurality of candidate emergency base station parameter sets;

determining a base station service performance index value corresponding to each candidate emergency base station parameter set according to the predicted coverage range and the predicted service user quantity corresponding to each candidate emergency base station parameter set;

and determining the candidate emergency base station parameter set corresponding to the maximum performance index value in the plurality of base station service performance index values as a target emergency base station parameter set.

Optionally, the determining a base station service performance index value corresponding to each candidate emergency base station parameter set according to the predicted coverage range and the predicted service user quantity corresponding to each candidate emergency base station parameter set includes:

determining a coverage rate value corresponding to each candidate emergency base station parameter set according to the predicted coverage rate corresponding to each candidate emergency base station parameter set and a predetermined coverage rate value determining rule;

determining service user quantity scoring values corresponding to each candidate emergency base station parameter set according to the predicted service user quantity corresponding to each candidate emergency base station parameter set and a predetermined service user quantity scoring value determining rule;

And determining a base station service performance index value corresponding to each candidate emergency base station parameter set according to the coverage rate score value and the service user quantity score value corresponding to each candidate emergency base station parameter set.

Optionally, the determining a base station service performance index value corresponding to each candidate emergency base station parameter set according to the coverage rate value and the service user quantity rate value corresponding to each candidate emergency base station parameter set includes:

determining a target coverage weight value and a target service user weight value corresponding to the current emergency scene in a predetermined coverage weight value and a service user weight value corresponding to at least one emergency scene respectively;

determining the product of the target coverage weight value and the coverage score value corresponding to each candidate emergency base station parameter set to obtain a weight coverage score value corresponding to each candidate emergency base station parameter set;

determining the weight value of the target service user quantity and the service user quantity grading value corresponding to each candidate emergency base station parameter set to obtain the weight service user quantity grading value corresponding to each candidate emergency base station parameter set;

And determining the sum of the weight coverage rate value and the weight service user quantity rate value corresponding to each candidate emergency base station parameter set to obtain a base station service performance index value corresponding to each candidate emergency base station parameter set.

Optionally, the obtaining the current coverage information and the current user distribution information of the conventional base station includes:

acquiring a current base station quality parameter set of the conventional base station;

determining current user distribution information of the conventional base station according to the user terminal position data in the base station quality parameter set;

and determining the current coverage information of the conventional base station according to the base station quality parameter set.

Optionally, the determining the current user distribution information of the conventional base station according to the user terminal position data in the base station quality parameter set includes:

determining initial current user distribution information according to the user terminal position data;

acquiring predetermined reference user distribution information corresponding to a current emergency scene;

and combining the initial current user distribution information and the reference user distribution information to obtain the current user distribution information of the conventional base station.

Optionally, the method further comprises:

Acquiring predetermined user movement trend data corresponding to a current emergency scene;

and correcting the current user distribution information according to the user movement trend data to obtain corrected current user distribution information corresponding to the conventional base station.

Optionally, the determining the current coverage information of the conventional base station according to the quality parameter set of the base station includes:

determining a first current coverage area of the conventional base station according to the base station quality parameter set;

acquiring the running state information of the conventional base station, and determining a second current coverage area of the conventional base station according to the running state information;

combining the first current coverage area and the second current coverage area to obtain the current coverage area of the conventional base station;

and combining the current coverage area and the base station quality parameter set to obtain the current coverage information of the conventional base station.

According to a second aspect of the present disclosure, there is provided an emergency base station planning apparatus, comprising:

the acquisition module is configured to acquire current coverage information and current user distribution information of a conventional base station;

a first determining module configured to determine a predicted coverage area corresponding to each of a plurality of candidate emergency base station parameter sets using the current coverage information and the candidate emergency base station parameter sets;

A second determining module configured to determine a predicted service user quantity corresponding to each of the candidate emergency base station parameter sets using the current user distribution information and the plurality of candidate emergency base station parameter sets;

a third determining module configured to determine a base station service performance index value corresponding to each of the candidate emergency base station parameter sets according to the predicted coverage and the predicted service user quantity corresponding to each of the candidate emergency base station parameter sets;

and the fourth determining module is configured to determine the candidate emergency base station parameter set corresponding to the maximum performance index value in the plurality of base station service performance index values as a target emergency base station parameter set.

Optionally, the third determining module is configured to:

Optionally, the acquiring module is configured to:

Optionally, the apparatus further includes a data correction module configured to:

Optionally, the acquiring module is configured to:

According to a third aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of the first aspect.

According to a fourth aspect of the present disclosure, there is provided an electronic device comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the method of the first aspect via execution of the executable instructions.

The technical scheme of the present disclosure has the following beneficial effects:

the emergency base station planning method, the emergency base station planning device, the emergency base station planning medium and the emergency base station planning electronic device can plan the emergency base station according to the current actual situation of the conventional base station in the emergency scene, and the obtained planning result of the emergency base station and the adaptation degree of the current emergency scene are improved so as to improve the rationality of the deployed emergency base station; in addition, in the process of selecting the target emergency base station parameter set, the user distribution condition and the base station coverage condition are considered, so that the rationality of the selected target emergency base station parameter set can be improved, and the adaptation degree of the deployed emergency base station and the current emergency scene is further improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely some embodiments of the present disclosure and that other drawings may be derived from these drawings without undue effort.

Fig. 1 shows a schematic architecture diagram of an emergency base station planning system in the present exemplary embodiment;

fig. 2 shows an exemplary flowchart of an emergency base station planning method in the present exemplary embodiment;

fig. 3 is a flowchart showing an exemplary method for acquiring current coverage information and current user profile information of a conventional base station in the present exemplary embodiment;

fig. 4 is a flowchart showing an exemplary method for determining a base station service performance index value in the present exemplary embodiment;

fig. 5 shows a schematic structural diagram of an emergency base station planning apparatus in the present exemplary embodiment;

Fig. 6 shows a schematic structural diagram of an electronic device in the present exemplary embodiment.

Detailed Description

Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.

The flow diagrams depicted in the figures are exemplary only and not necessarily all steps are included. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.

In the related art, when an emergency scene appears, the emergency base station can be deployed by using the pre-predicted deployment parameters of the emergency base station in the same emergency scene so as to meet the communication requirement under the emergency communication condition, for example, in a large-scale performance scene, the deployment parameters of the emergency base station in the large-scale performance scene can be analyzed and predicted by using the distribution information of the stadium and the stadium accessory users in the previous multiple performances, so that the emergency base station can be deployed by using the deployment parameters of the emergency base station in the large-scale performance scene when the large-scale performance is available.

In the process of predicting deployment parameters of the emergency base station in the emergency scene, user distribution information of similar emergency scenes in a historical period before the current emergency scene is used, the predicted deployment parameters of the emergency base station are irrelevant to the current emergency scene, the emergency base station deployed by using the predicted deployment parameters of the emergency base station is caused, the problems that a pre-coverage area is not matched with a communication service demand area in the current emergency scene or resources distributed in an area with more user distribution are less and the like are caused, and the emergency base station is unreasonable to plan are caused.

In view of the foregoing, exemplary embodiments of the present disclosure provide an emergency base station planning method. The application scenarios of the emergency base station planning method include, but are not limited to: in the mobile communication process, when an emergency scene appears, a target emergency base station parameter set which can provide the best service effect can be selected from the plurality of candidate emergency base station parameter sets according to the current coverage information of the conventional base station, the current user distribution information of the coverage area of the base station and the plurality of candidate emergency base station parameter sets, so that an emergency base station which is most suitable for the current emergency scene can be deployed according to the target emergency base station parameter set, the rationality of the emergency base station deployed in the emergency scene is improved, and the communication service quality in the emergency scene is improved. The conventional base station is a base station deployed in the construction process of a communication facility for a communication service provider to provide mobile communication service for users.

In order to implement the above service processing method, an exemplary embodiment of the present disclosure provides an emergency base station planning system. Fig. 1 shows a schematic architecture diagram of the emergency base station planning system. As shown in fig. 1, the service processing system 100 may include a network management server 110 and a terminal device 120. Wherein the server 110 is a network management server in a mobile communication service system. The terminal device 120 is a terminal device used for emergency base station planning, such as a smart phone, a personal computer, a tablet computer, etc. The network management server 110 and the terminal device 120 may establish network communication to establish a connection.

It should be understood that the network management server 110 may be one server or may be a cluster formed by a plurality of servers, and the specific architecture of the server 110 is not limited in this disclosure.

The following describes an emergency base station planning method from the point of view of the terminal device. Fig. 2 shows an exemplary flow chart of an emergency base station planning method performed by a terminal device, which may include:

step S201, current coverage information and current user distribution information of a conventional base station are obtained;

step S202, determining a predicted coverage corresponding to each candidate emergency base station parameter set by using the current coverage information and the plurality of candidate emergency base station parameter sets;

in the embodiment of the present disclosure, the candidate emergency base station parameter set is a set of deployment parameters corresponding to a possible deployment scheme of the emergency base station, and the candidate emergency base station parameter set may include information such as a deployment position, a deployment height, an antenna extension height, an antenna gain, and an antenna downtilt angle of the emergency base station. The emergency base station can be an unmanned aerial vehicle base station, and the deployment height in the emergency base station parameter set is the hovering height of the unmanned aerial vehicle.

Step S203, determining predicted service user quantity corresponding to each candidate emergency base station parameter set by using the current user distribution information and the plurality of candidate emergency base station parameter sets;

Step S204, determining a base station service performance index value corresponding to each candidate emergency base station parameter set according to the predicted coverage range and the predicted service user quantity corresponding to each candidate emergency base station parameter set;

step S205, a candidate emergency base station parameter set corresponding to the maximum performance index value is determined as a target emergency base station parameter set in the plurality of base station service performance index values.

In summary, according to the emergency base station planning method provided by the embodiment of the present disclosure, the predicted coverage area and the predicted service user quantity corresponding to the plurality of candidate emergency base station parameter sets respectively in the current emergency scene can be simulated based on the current coverage information of the conventional base station and the current user distribution information of the conventional base station service user, and the base station service performance index value capable of providing the best service quality in the plurality of candidate emergency base station parameter sets according to the predicted coverage area and the predicted service user quantity is determined as the target emergency base station parameter set; the emergency base station planning can be carried out based on the current actual situation of the conventional base station in the emergency scene, so that the adaptation degree of the obtained planning result of the emergency base station and the current emergency scene is improved, and the rationality of the deployed emergency base station is improved; in addition, in the process of selecting the target emergency base station parameter set, the user distribution condition and the base station coverage condition are considered, so that the rationality of the selected target emergency base station parameter set can be improved, and the adaptation degree of the deployed emergency base station and the current emergency scene is further improved.

Each step in fig. 2 is described in detail below:

in step S201, the terminal device acquires current coverage information and current user distribution information of a conventional base station.

In the embodiment of the present disclosure, the current coverage information of the conventional base station may indicate a current coverage situation of the base station device, and the current user distribution information may indicate a user distribution situation of a coverage area of the conventional base station.

In an alternative embodiment, as shown in fig. 3, the process of the terminal device acquiring the current coverage information and the current user profile information of the conventional base station may include steps S301 to S303:

step S301, a current base station quality parameter set of a conventional base station is obtained;

in the embodiment of the present disclosure, the base station quality parameter set is parameter data including various types of information indicating network quality of a conventional base station, which is reported by a user terminal in a coverage area of the conventional base station, and the base station quality parameter set may be minimization of drive tests (minimization of drive-tests, MDT) data and/or network Measurement Report (MR) data acquired by a terminal device from a network management server.

Wherein the MR data may include: reference signal received power (reference signal received power, RSRP), reference signal received quality (reference signal receiving quality, RSRQ), and user terminal location data, which may be latitude and longitude data.

The MDT Data may include Reference Signal Received Power (RSRP), reference Signal Received Quality (RSRQ), signal to interference plus noise ratio (Signal to Interference plus Noise Ratio, SINR), user terminal location Data, terminal power headroom (Power Headroom Report, PHR), serving cell base station received interference power, uplink/downlink Packet Data convergence protocol (Packet Data Convergence Protocol, PDCP) Data throughput (UL/DL Data Volume), uplink/downlink Packet transmission Delay (UL/DL Packet Delay), uplink/downlink Packet Data Convergence Protocol (PDCP) layer user plane Data Packet loss rate (UL/DL Packet Loss rate), received signal strength indication (Received Signal Strength Indication, RSSI) measured by the user terminal, signal Round Trip Time (Round-Trip Time, RTT) measured by the user terminal, etc.

In an alternative embodiment, the process of obtaining the current base station quality parameter set of the conventional base station may include: the base station quality parameter set acquisition request is sent to the network management server, and the network management server can respond to the base station quality parameter set acquisition request to determine the current base station quality parameter set of the conventional base station and send the current base station quality parameter set to the terminal equipment. The base station quality parameter set sent by the network management server to the terminal equipment can comprise all base station quality parameter sets reported by the user terminals acquired by the network management server, so that the conventional base station is convenient to determine to be most consistent with the current actual operation data.

In an alternative embodiment, the emergency scenario may be a scenario in which a conventional base station operates normally, and the process of determining, by the network management server, the quality parameter set of the target base station may include: after receiving the base station quality parameter set acquisition request, the network management service determines the base station quality parameter set reported by the user terminal at the current time as the current base station quality parameter set of the conventional base station.

In an alternative embodiment, the emergency scenario may be a scenario in which a conventional base station fails, and the process of determining, by the network management server, the quality parameter set of the target base station may include: and the network management server determines the base station quality parameter set finally reported by the user terminal of the service area of the fault base station as the current base station quality parameter set of the conventional base station.

Step S302, determining current user distribution information of a conventional base station according to user terminal position data in a base station quality parameter set;

in the embodiment of the present disclosure, the current user distribution information may be a user distribution amount of any location or location area.

In an alternative embodiment, the process of determining, by the terminal device, the current user distribution information of the conventional base station according to the user terminal location data in the quality parameter set of the base station may include: and acquiring the position data of the user terminal, and determining the quantity of the position data of the user terminal at the same position or in a position area to obtain the current user distribution information.

In an alternative embodiment, the process of determining, by the terminal device, the current user distribution information of the conventional base station according to the user terminal location data in the quality parameter set of the base station may include: determining initial current user distribution information according to the user terminal position data; acquiring predetermined reference user distribution information corresponding to a current emergency scene; and combining the initial current user distribution information and the reference user distribution information to obtain the current user distribution information of the conventional base station. The reference user distribution information may be average user distribution information in at least one historical emergency scene of the same type as the current emergency scene before the current emergency scene appears. For example, the current emergency scene is a performance scene of 2022, 5 th and fifty thousand people scale, and the reference user distribution information corresponding to the current emergency scene is average user distribution information in the performance scene of 2022, 5 th and five thousand people scale before the current emergency scene; the current user distribution information can be corrected by utilizing the reference user distribution information, so that the user distribution information in the current emergency scene is more in line with the actual situation of user distribution when the emergency scene occurs.

The process of determining the initial current user distribution information by the terminal device may refer to the process of determining the current user distribution information of the conventional base station by the terminal device according to the user terminal position data in the quality parameter set of the base station in the above embodiment, which is not described in detail in the embodiments of the present disclosure; the process of the terminal device combining the initial current user distribution information and the reference user distribution information to obtain the current user distribution information of the conventional base station may include: and determining the sum of the initial current user distribution data and the reference user distribution data of the same position or position area to obtain the current user distribution information of the conventional base station.

In an alternative embodiment, after the terminal device determines the current user distribution information of the conventional base station, predetermined user movement trend data corresponding to the current emergency scene may also be acquired; and correcting the current user distribution information according to the user movement trend data to obtain corrected current user distribution information corresponding to the conventional base station. The current user distribution data can be further modified according to the user movement trend data, so that the user distribution change information in the current emergency scene is more in line with the actual situation of user distribution change when the emergency scene occurs.

The user movement trend data refers to periodically increasing and decreasing number data of the user distribution number in the occurrence position or the area of the current emergency scene. When the user moves the trend data, the change rule of the distribution quantity of the user is determined by utilizing at least one historical emergency scene which appears at the historical moment and is the same as the current emergency scene. For example, in a large performance scenario, the user movement trend data refers to the increase or decrease in the number of users who play out the venue and the area near the venue every five minutes.

The process of correcting the current user distribution information according to the user movement trend data to obtain corrected current user distribution information corresponding to the conventional base station may include: the number of user distributions at the same position or area in the just previous user distribution information is periodically increased or decreased according to the user movement trend data.

Step S303, determining the current coverage information of the conventional base station according to the quality parameter set of the base station.

In the embodiment of the present disclosure, the current coverage information may include a current coverage of a conventional base station and a signal transmission parameter for determining the current coverage.

In an alternative embodiment, the process of determining, by the terminal device, the current coverage information of the conventional base station according to the quality parameter set of the base station may include: selecting a target quality parameter in the quality parameter set, and if the target quality parameter is determined to be greater than or equal to a preset quality parameter threshold, determining a position corresponding to user terminal position data in the quality parameter set of the base coverage base station; if it is determined that the target quality parameter is smaller than the preset quality parameter threshold, determining a position corresponding to the user terminal position data in the quality parameter set of the base station uncovered by the base station, where the target quality parameter may be a parameter of any non-user terminal position data in the quality parameter set of the base station, and the preset quality parameter threshold may be determined based on actual needs, which is not limited by the embodiments of the present disclosure.

In an alternative embodiment, the process of determining, by the terminal device, the current coverage information of the conventional base station according to the quality parameter set of the base station may include: determining a first current coverage area of a conventional base station according to a base station quality parameter set; acquiring the running state information of the conventional base station, and determining a second current coverage area of the conventional base station according to the running state information; combining the first current coverage area and the second current coverage area to obtain the current coverage area of the conventional base station; and combining the current coverage area and the base station quality parameter set to obtain the current coverage information of the conventional base station. The coverage area of the conventional base station can be determined by combining the base station quality parameter set reported by the user terminal and the running state information reported by the conventional base station, the accuracy of the determined current coverage area of the conventional base station is improved, and the reliability of the acquired current coverage information is further improved.

The process of determining, by the terminal device, the current coverage information of the conventional base station according to the base station quality parameter set may refer to the process of determining, by the terminal device, the current coverage information of the conventional base station according to the base station quality parameter set in the above embodiment, which is not described in detail in the embodiments of the present disclosure.

The process of the terminal device obtaining the operation state information of the conventional base station and determining the second current coverage area of the conventional base station according to the operation state information may include: the terminal device sends a base station operation state information acquisition request to the network management server, the network management server can send operation state information of the conventional base station to the terminal device in response to receiving the base station operation state information acquisition request, and the terminal device can process the operation state information by using a simulation tool to obtain a second current coverage area of the conventional base station. The operation state information may include engineering parameters and operation parameters of the conventional base station, and the engineering parameters may include a position, a height, an antenna direction, an antenna pitch angle, an antenna gain, and the like of the conventional base station; the operating parameters may include radio frequency bandwidth, transmission bandwidth, transmit power, etc. of the conventional base station.

It can be appreciated that in the embodiment of the present disclosure, the current user distribution information and the current coverage information of the base station may be determined according to the current base station quality parameter set of the conventional base station, and the planning of the emergency base station is associated with the current state of the base station, so that the reliability of the planning result of the emergency base station and the adaptation degree with the current emergency scene may be improved.

In step S202, the terminal device determines a predicted coverage area corresponding to each candidate emergency base station parameter set by using the current coverage information and the plurality of candidate emergency base station parameter sets;

in the embodiment of the present disclosure, the predicted coverage corresponding to the candidate emergency base station parameter set refers to a possible coverage of an operable base station if the emergency base station is deployed by using the candidate emergency base station parameter set, where the operable base station may be an emergency base station and a base station; alternatively, the operable base station may be an emergency base station. For example, if the emergency scenario is a scenario in which a conventional base station operates normally, the operable base station may be an emergency base station and a base station; if the emergency scene is a scene that the conventional base station fails, the operable base station may be an emergency base station.

In an alternative embodiment, the process of determining the predicted coverage area corresponding to each candidate emergency base station parameter set by the terminal device using the current coverage information and the plurality of candidate emergency base station parameter sets may include: for each candidate emergency base station parameter and set, the current coverage information and the candidate emergency base station parameter and set can be input into a simulation model to obtain a prediction coverage corresponding to each candidate emergency base station parameter set, wherein the simulation model can be a ray tracing method model or a path loss model, and the path loss model can be an Okumura-Hata model or a COST231-Hata model.

In step S203, the terminal device determines a predicted service user quantity corresponding to each candidate emergency base station parameter set by using the current user distribution information and the plurality of candidate emergency base station parameter sets;

in the embodiment of the present disclosure, the predicted service user quantity corresponding to the candidate emergency base station parameter set refers to the number of users that may be possibly served by the operable base station if the emergency base station is deployed using the candidate emergency base station parameter set.

In an alternative embodiment, the process of determining, by the terminal device, the predicted service user quantity corresponding to each candidate emergency base station parameter set using the current user distribution information and the plurality of candidate emergency base station parameter sets may include: and for each candidate emergency base station parameter and set, the current user distribution information and the candidate emergency base station parameter and set can be input into a clustering model to obtain the predicted service user quantity corresponding to each candidate emergency base station parameter set.

In step S204, the terminal device determines a base station service performance index value corresponding to each candidate emergency base station parameter set according to the predicted coverage and the predicted service user quantity corresponding to each candidate emergency base station parameter set.

In the embodiment of the disclosure, the base station service performance index value corresponding to the candidate emergency base station parameter set is used for indicating an index value of communication service capability of the operable base station after the emergency base station is deployed by using the candidate emergency base station parameter set, wherein the higher the base station service performance index value is, the better the communication service effect of the operable base station is indicated.

In an alternative embodiment, as shown in fig. 4, the process of determining, by the terminal device, the base station service performance index value corresponding to each candidate emergency base station parameter set according to the predicted coverage and the predicted service user quantity corresponding to each candidate emergency base station parameter set may include steps S401 to S403:

step S401, determining a coverage rate value corresponding to each candidate emergency base station parameter set according to a predicted coverage rate corresponding to each candidate emergency base station parameter set and a predetermined coverage rate value determining rule;

in the embodiment of the present disclosure, the coverage score value corresponding to each candidate emergency base station parameter set refers to the size of the possible coverage of the operable base station if the emergency base station is deployed with the candidate emergency base station parameter set. Wherein a larger coverage score value indicates a larger coverage of the operable base station.

In an alternative embodiment, the coverage score value determining rule indicates that the difference between the predicted coverage and the current coverage is determined as the coverage score value, and the determining, by the terminal device, the coverage score value corresponding to each candidate emergency base station parameter set according to the predicted coverage corresponding to each candidate emergency base station parameter set and the predetermined coverage score value determining rule may include: for the predicted coverage corresponding to each candidate emergency base station parameter set, determining a difference between the predicted coverage and the current coverage, and determining the difference as a coverage score value corresponding to each candidate emergency base station parameter set.

In an alternative embodiment, the coverage score value determining rule indicates that the normalized value of the predicted coverage is determined as the coverage score value, and the determining, by the terminal device, the coverage score value corresponding to each candidate emergency base station parameter set according to the predicted coverage corresponding to each candidate emergency base station parameter set and the predetermined coverage score value determining rule may include: and carrying out normalization processing on the predicted coverage range corresponding to each candidate emergency base station parameter set, and obtaining a coverage range grading value corresponding to each candidate emergency base station parameter set.

Step S402, determining service user quantity scoring values corresponding to each candidate emergency base station parameter set according to the predicted service user quantity corresponding to each candidate emergency base station parameter set and a predetermined service user quantity scoring value determining rule;

in the embodiment of the present disclosure, the service user quantity scoring value corresponding to each candidate emergency base station parameter set refers to the size of the possible service user quantity of the operable base station if the emergency base station is deployed with the candidate emergency base station parameter set. Wherein, the larger the service user quantity grading value is, the larger the service user quantity of the operable base station is.

In an alternative embodiment, the service user quantity score value determining rule indicates that the normalized value of the predicted service user quantity is determined as the service user quantity score value, and the process of determining the service user quantity score value corresponding to each candidate emergency base station parameter set by the terminal device according to the predicted service user quantity corresponding to each candidate emergency base station parameter set and the predetermined service user quantity score value determining rule may include: and carrying out normalization processing on the predicted service user quantity corresponding to each candidate emergency base station parameter set, and obtaining a service user quantity grading value corresponding to each candidate emergency base station parameter set.

Step S403, determining a base station service performance index value corresponding to each candidate emergency base station parameter set according to the coverage rating value and the service user quantity rating value corresponding to each candidate emergency base station parameter set.

In an alternative embodiment, the process of determining, by the terminal device, the base station service performance index value corresponding to each candidate emergency base station parameter set according to the coverage score value and the service user quantity score value corresponding to each candidate emergency base station parameter set may include: and for each candidate emergency base station parameter set, determining the sum of the coverage range score value and the service user quantity score value corresponding to each candidate emergency base station parameter set, and obtaining the base station service performance index value corresponding to each candidate emergency base station parameter set.

In an alternative embodiment, the process of determining, by the terminal device, the base station service performance index value corresponding to each candidate emergency base station parameter set according to the coverage score value and the service user quantity score value corresponding to each candidate emergency base station parameter set may include: determining a target coverage weight value and a target service user weight value corresponding to the current emergency scene in a predetermined coverage weight value and a service user weight value corresponding to at least one emergency scene respectively; determining a target coverage weight value and a product of coverage scoring values corresponding to each candidate emergency base station parameter set to obtain a weight coverage scoring value corresponding to each candidate emergency base station parameter set; determining a target service user quantity weight value and a service user quantity grading value corresponding to each candidate emergency base station parameter set, and obtaining a weight service user quantity grading value corresponding to each candidate emergency base station parameter set; and determining the sum of the weight coverage rate value and the weight service user quantity rate value corresponding to each candidate emergency base station parameter set to obtain the base station service performance index value corresponding to each candidate emergency base station parameter set. According to the method, the coverage area score value and the service user quantity score value corresponding to the candidate emergency base station parameter set can be subjected to weight correction according to different importance degrees of coverage area factors and service user quantity factors in the deployment process of the emergency base station in the emergency scene, so that the base station service performance index value which is more in line with the actual situation of the current emergency scene can be obtained, and the emergency base station can be deployed more reasonably.

Wherein, the coverage weight value and the service user volume weight value corresponding to at least one emergency scene respectively can be determined based on actual needs, which is not limited by the embodiments of the present disclosure. The process of determining the target coverage weight value and the target service user weight value corresponding to the current emergency scene in the predetermined coverage weight value and the service user weight value respectively corresponding to the at least one emergency scene by the terminal device may include: and determining the coverage weight value and the service user quantity weight value corresponding to the same emergency scene as the current emergency scene as a target coverage weight value and a target service corresponding to the current emergency scene in the predetermined coverage weight value and the service user quantity weight value respectively corresponding to at least one emergency scene.

For example, the coverage weight value and the service user volume weight value respectively corresponding to the at least one emergency scene may include: the coverage weight value corresponding to the base station fault scene is 50%, and the service user weight value is 50%; the coverage weight value corresponding to the key disaster scene is 70%, and the service user weight value is 30%; coverage weight corresponding to a major gathering scene is 30%, and service user weight is 70%. If the current emergency scene is a major disaster scene, the weight value of the target coverage range corresponding to the current emergency scene is 70%, and the weight value of the target service user quantity is 30%.

It can be understood that in selecting the target emergency base station parameter set, the user distribution condition and the base station coverage condition are considered, so that the reliability and the accuracy of the determined base station service performance index value can be improved.

In the embodiment of the disclosure, the base station parameter set should be targeted as the deployment parameter set of the emergency base station that can provide the best communication service in the current emergency scenario.

Fig. 5 shows a schematic structural diagram of an emergency base station planning apparatus according to an embodiment of the present disclosure, and as shown in fig. 5, an emergency base station planning apparatus 500 includes:

an acquisition module 501 configured to acquire current coverage information and current user distribution information of a conventional base station;

a first determining module 502 configured to determine a predicted coverage area corresponding to each candidate emergency base station parameter set using the current coverage information and the plurality of candidate emergency base station parameter sets;

a second determining module 503 configured to determine a predicted service user quantity corresponding to each candidate emergency base station parameter set using the current user distribution information and the plurality of candidate emergency base station parameter sets;

A third determining module 504 configured to determine a base station service performance index value corresponding to each candidate emergency base station parameter set according to the predicted coverage and the predicted service user quantity corresponding to each candidate emergency base station parameter set;

the fourth determining module 505 is configured to determine, as the target emergency base station parameter set, a candidate emergency base station parameter set corresponding to the maximum performance index value from the plurality of base station service performance index values.

Optionally, the third determining module 504 is configured to:

determining a coverage rate value corresponding to each candidate emergency base station parameter set according to a predicted coverage rate corresponding to each candidate emergency base station parameter set and a predetermined coverage rate value determining rule;

and determining a base station service performance index value corresponding to each candidate emergency base station parameter set according to the coverage range score value and the service user quantity score value corresponding to each candidate emergency base station parameter set.

Optionally, the third determining module 504 is configured to:

determining a target coverage weight value and a product of coverage scoring values corresponding to each candidate emergency base station parameter set to obtain a weight coverage scoring value corresponding to each candidate emergency base station parameter set;

determining a target service user quantity weight value and a service user quantity grading value corresponding to each candidate emergency base station parameter set, and obtaining a weight service user quantity grading value corresponding to each candidate emergency base station parameter set;

and determining the sum of the weight coverage rate value and the weight service user quantity rate value corresponding to each candidate emergency base station parameter set to obtain the base station service performance index value corresponding to each candidate emergency base station parameter set.

Optionally, the obtaining module 501 is configured to:

acquiring a current base station quality parameter set of a conventional base station;

determining current user distribution information of a conventional base station according to user terminal position data in a base station quality parameter set;

And determining the current coverage information of the conventional base station according to the quality parameter set of the base station.

Optionally, the obtaining module 501 is configured to:

Optionally, as shown in fig. 5, the emergency base station planning apparatus 500 further includes a data correction module 506 configured to:

Optionally, the obtaining module 501 is configured to:

determining a first current coverage area of a conventional base station according to a base station quality parameter set;

Exemplary embodiments of the present disclosure also provide a computer readable storage medium, which may be implemented in the form of a program product comprising program code for causing an electronic device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the above section of the "exemplary method" when the program product is run on the electronic device. In one embodiment, the program product may be implemented as a portable compact disc read only memory (CD-ROM) and includes program code and may be run on an electronic device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The exemplary embodiments of the present disclosure also provide an electronic device, which may be a terminal device. The electronic device is described below with reference to fig. 6. It should be understood that the electronic device 600 shown in fig. 6 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.

As shown in fig. 6, the electronic device 600 is in the form of a general purpose computing device. Components of electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 that connects the different system components, including the memory unit 620 and the processing unit 610.

Wherein the storage unit stores program code that is executable by the processing unit 610 such that the processing unit 610 performs steps according to various exemplary embodiments of the present invention described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 610 may perform the method steps as shown in fig. 2, etc.

The storage unit 620 may include volatile storage units such as a Random Access Memory (RAM) 621 and/or a cache memory 622, and may further include a Read Only Memory (ROM) 623.

The storage unit 620 may also include a program/utility 624 having a set (at least one) of program modules 625, such program modules 625 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

Bus 630 may include a data bus, an address bus, and a control bus.

The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.) via an input/output (I/O) interface 640. The electronic device 600 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet through a network adapter 650. As shown, the network adapter 650 communicates with other modules of the electronic device 600 over the bus 630. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 600, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with exemplary embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An emergency base station planning method, comprising:

2. The method of claim 1, wherein the determining a base station service performance index value corresponding to each of the candidate emergency base station parameter sets based on the predicted coverage and the predicted service user quantity corresponding to each of the candidate emergency base station parameter sets comprises:

3. The method of claim 2, wherein the determining the base station service performance indicator value for each candidate emergency base station parameter set based on the coverage score value and the service user quantity score value for each candidate emergency base station parameter set comprises:

4. The method of claim 1, wherein the obtaining current coverage information and current user profile information for the regular base station comprises:

5. The method of claim 4, wherein said determining current user profile information for said conventional base station based on user terminal location data in said base station quality parameter set comprises:

6. The method according to any one of claims 4 to 5, further comprising:

7. The method of claim 4, wherein said determining current coverage information for said conventional base station from said set of base station quality parameters comprises:

8. An emergency base station planning apparatus, comprising:

9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1 to 7.

10. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the method of any one of claims 1 to 7 via execution of the executable instructions.