CN117395742A - Base station access method, device, equipment and storage medium - Google Patents

Base station access method, device, equipment and storage medium Download PDF

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Publication number
CN117395742A
CN117395742A CN202311511571.7A CN202311511571A CN117395742A CN 117395742 A CN117395742 A CN 117395742A CN 202311511571 A CN202311511571 A CN 202311511571A CN 117395742 A CN117395742 A CN 117395742A
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China
Prior art keywords
base station
value score
time period
data
value
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CN202311511571.7A
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Chinese (zh)
Inventor
王晓彬
吴争光
姚梦珂
郑伟嵩
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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Priority to CN202311511571.7A priority Critical patent/CN117395742A/en
Publication of CN117395742A publication Critical patent/CN117395742A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H04W36/0058—Transmission of hand-off measurement information, e.g. measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/0085—Hand-off measurements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/0085—Hand-off measurements
    • H04W36/0088—Scheduling hand-off measurements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/08—Reselecting an access point
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/08—Access restriction or access information delivery, e.g. discovery data delivery
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/16—Discovering, processing access restriction or access information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/20—Selecting an access point

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The application relates to a base station access method, a base station access device, a base station access equipment and a base station access storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring network state data of each first base station in a plurality of first base stations; wherein the network status data comprises: signal strength value, service demand satisfaction, network congestion, used resource occupancy rate and flow unit price; wisdom, according to the network state data of each first base station, determining the value score of each first base station; wherein the signal strength value is positively correlated with the value score, the business demand satisfaction is positively correlated with the value score, the network congestion degree is negatively correlated with the value score, the used resource ratio is negatively correlated with the value score, and the flow unit price is negatively correlated with the value score; further, determining the base station with the value score larger than the preset value score in the plurality of first base stations as the base station to be accessed. The method and the device are used for accurately determining the base station meeting the requirements of the unmanned aerial vehicle.

Description

Base station access method, device, equipment and storage medium
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a base station access method, apparatus, device, and storage medium.
Background
The unmanned aerial vehicle network access refers to connecting the unmanned aerial vehicle with a ground network, and realizing communication and data transmission between the unmanned aerial vehicle and ground equipment. The prior art is generally that the drone monitors the signal strength of surrounding base stations periodically or continuously and accesses the base station with the best signal strength.
However, determining the access base station according to the signal strength may cause frequent switching between the two base stations by the unmanned aerial vehicle, which reduces the stability of network connection and cannot meet the network requirements of the unmanned aerial vehicle.
Disclosure of Invention
The application provides a base station access method, a base station access device, base station access equipment and a base station storage medium, which are used for at least solving the problems that in the prior art, an access base station is determined according to signal strength, so that an unmanned aerial vehicle can be frequently switched between two base stations, and the stability of network connection is reduced, and the network requirement of the unmanned aerial vehicle cannot be met. The technical scheme of the application is as follows:
in a first aspect, a base station access method is provided, the method including: acquiring network state data of each first base station in a plurality of first base stations; the network status data includes: signal strength value, service demand satisfaction, network congestion, used resource occupancy rate and flow unit price; determining a value score for each first base station according to the network status data of each first base station; the signal intensity value is positively correlated with the value score, the service demand satisfaction is positively correlated with the value score, the network congestion degree is negatively correlated with the value score, the used resource duty ratio is negatively correlated with the value score, and the flow unit price is negatively correlated with the value score; and determining the base station with the value score larger than the preset value score in the plurality of first base stations as the base station to be accessed.
In one possible embodiment, the method further comprises: acquiring a service demand type, a coverage area of each first base station in a plurality of first base stations, an uplink rate of each first base station and a downlink rate of each first base station; determining the service demand satisfaction degree of each first base station according to the service demand threshold corresponding to the service demand type; the business requirement threshold includes: coverage threshold, uplink rate threshold, downlink rate threshold.
In a possible implementation manner, the first base station meets preset conditions, where the preset conditions include: the time of accessing the base station is in idle time period of the base station on the appointed date.
In one possible embodiment, the method further comprises: acquiring flow data of each first base station in a plurality of first base stations in a plurality of historical dates; the flow data includes: the number of user connections, or traffic usage data; aiming at each first base station, obtaining a flow prediction model corresponding to the first base station according to the flow data of the first base station in each historical time period in a plurality of historical time periods in each historical date in a plurality of historical dates; according to a flow prediction model corresponding to the first base station, obtaining predicted flow data of each specified time period in a plurality of specified time periods in a specified date of the first base station; and determining the idle time period and the busy time period of the first base station in the appointed date according to the flow data of each historical time period and the predicted flow data of each appointed time period so as to obtain the idle time period and the busy time period of each first base station in the appointed date.
In a second aspect, there is provided a base station access apparatus comprising: an acquisition unit and a determination unit; an acquisition unit configured to acquire network state data of each of a plurality of first base stations; the network status data includes: signal strength value, service demand satisfaction, network congestion, used resource occupancy rate and flow unit price; a determining unit, configured to determine a value score of each first base station according to network status data of each first base station; the signal intensity value is positively correlated with the value score, the service demand satisfaction is positively correlated with the value score, the network congestion degree is negatively correlated with the value score, the used resource duty ratio is negatively correlated with the value score, and the flow unit price is negatively correlated with the value score; the determining unit is further configured to determine, as the base station to be accessed, a base station whose value score is greater than a preset value score among the plurality of first base stations.
In a possible implementation manner, the acquiring unit is further configured to acquire a service requirement type, a coverage area of each first base station in the plurality of first base stations, an uplink rate of each first base station, and a downlink rate of each first base station; the determining unit is further used for determining the service requirement satisfaction degree of each first base station according to the service requirement threshold corresponding to the service requirement type; the business requirement threshold includes: coverage threshold, uplink rate threshold, downlink rate threshold.
In a possible implementation manner, the first base station meets preset conditions, where the preset conditions include: the time of accessing the base station is in idle time period of the base station on the appointed date.
In one possible implementation manner, the base station access device further includes a processing unit; the acquisition unit is also used for acquiring flow data of each first base station in the plurality of first base stations in a plurality of historical dates; the flow data includes: the number of user connections, or traffic usage data; the processing unit is used for obtaining a flow prediction model corresponding to each first base station according to the flow data of the first base station in each historical time period in a plurality of historical time periods in each historical date in a plurality of historical dates; the processing unit is further used for obtaining predicted flow data of each specified time period in the plurality of specified time periods in the specified date of the first base station according to the flow prediction model corresponding to the first base station; the determining unit is further used for determining the idle time period and the busy time period of the first base station in the appointed date according to the flow data of each historical time period and the predicted flow data of each appointed time period so as to obtain the idle time period and the busy time period of each first base station in the appointed date in the plurality of first base stations.
In a third aspect, there is provided an electronic device comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement the method of the first aspect and any of its possible embodiments described above.
In a fourth aspect, a computer readable storage medium is provided, which when executed by a processor of an electronic device, enables the electronic device to perform the method of any one of the above-described first aspects and any one of its possible embodiments.
In a fifth aspect, there is provided a computer program product comprising computer instructions which, when run on an electronic device, cause the electronic device to perform the method of the first aspect and any of its possible embodiments.
The technical scheme of the first aspect that this application provided brings following beneficial effect at least: the prior art determines an access base station according to signal strength, which may cause frequent switching of the unmanned aerial vehicle between two base stations, thereby reducing the problem of network connection stability and failing to meet the network requirements of the unmanned aerial vehicle. The method comprises the steps of obtaining network state data of each first base station in a plurality of first base stations, and determining a value score of each first base station according to the network state data of each first base station. Wherein the network status data comprises: signal strength value, service demand satisfaction, network congestion, used resource occupancy rate and flow unit price; the signal strength value is positively correlated with the value score, the business demand satisfaction is positively correlated with the value score, the network congestion is negatively correlated with the value score, the used resource duty ratio is negatively correlated with the value score, and the flow unit price is negatively correlated with the value score. And then, determining the base station with the value score larger than the preset value score in the plurality of first base stations as the base station to be accessed. Therefore, the determined base station to be accessed is a base station with strong signal strength, small network congestion, low occupied ratio of used resources, low traffic demand satisfaction and low traffic unit price, the base station meeting the unmanned aerial vehicle traffic demand can be accurately determined, and the stability of the network is improved.
It should be noted that, the technical effects caused by any implementation manner of the second aspect to the fifth aspect may refer to the technical effects caused by the corresponding implementation manner in the first aspect, which are not described herein.
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 application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application and do not constitute an undue limitation on the application.
Fig. 1 is a schematic diagram of a base station access system according to an exemplary embodiment;
FIG. 2 is a flow chart illustrating a method of base station access according to an example embodiment;
fig. 3 is a flow chart illustrating yet another base station access method according to an exemplary embodiment;
fig. 4 is a flow chart illustrating yet another base station access method according to an example embodiment;
fig. 5 is a block diagram of a base station access device, according to an example embodiment;
fig. 6 is a block diagram of an electronic device, according to an example embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
Before describing the base station access method provided by the application in detail, a brief description is first provided of the technical background related to the application.
The unmanned aerial vehicle network access method generally adopts a multi-base station switching strategy and a cellular network and wireless-connection (wifi) cooperative strategy. The multi-base station switching strategy specifically comprises the following steps: and selecting the optimal base station for connection according to the position and the signal quality of the unmanned aerial vehicle so as to ensure the connection quality and stability of the unmanned aerial vehicle. The goal of this strategy is to have the drone switch base stations imperceptibly during movement, thus achieving seamless communication. The multi-base station switching strategy operates by the drone periodically or continuously monitoring the signal strength and quality of surrounding base stations. When the unmanned aerial vehicle moves to the coverage area of the base station with good signal, the system can automatically select the best base station for connection according to the preset switching condition. The method can ensure that the connection is not interrupted when the unmanned aerial vehicle moves.
The cellular network and wifi cooperation strategy specifically comprises the following steps: the cellular network and the wifi network are combined to achieve a better connection experience. And the unmanned aerial vehicle automatically selects a cellular network or a wifi network for connection according to the position and the signal strength of the unmanned aerial vehicle. The operation mode of the strategy is that the unmanned plane monitors the cellular network and the wifi network around the unmanned plane, and is automatically switched to a more stable and high-speed network according to factors such as signal quality, network load and the like. While moving, the drone may switch from the cellular network to the wifi network, or vice versa, without perception. The method can improve the connection quality and speed to the maximum extent and save the mobile data flow.
However, the two strategies described above have the following disadvantages: 1. the connection interruption occurs in a short time, resulting in call interruption or data loss. 2. Frequent handovers may lead to unstable connections and reduce user satisfaction.
Before describing the base station access method provided in the present application in detail, a brief description is given of an implementation environment (implementation architecture) related to the present application.
The base station access method provided by the embodiment of the application can be applied to a base station access system. Fig. 1 shows a schematic structure of the base station access system. As shown in fig. 1, the base station access system 10 includes a base station access device 11 and an electronic apparatus 12. The base station access device 11 is connected to the electronic device 12, and the base station access device 11 and the electronic device 12 may be connected by a wired manner or may be connected by a wireless manner, which is not limited in the embodiment of the present application.
The base station access means 11 may be configured to interact with the electronic device 12, for example, to receive network status data of each of a plurality of first base stations transmitted by the electronic device 12. The network status data includes: signal strength value, traffic demand satisfaction, network congestion, used resource occupancy, and traffic unit price. The base station to be accessed is sent to the electronic device 12.
The base station access device 11 may be further configured to process the acquired network status data of each of the plurality of first base stations, for example, determine a value score of each first base station according to the network status data of each first base station. The signal strength value is positively correlated with the value score, the business demand satisfaction is positively correlated with the value score, the network congestion is negatively correlated with the value score, the used resource duty ratio is negatively correlated with the value score, and the flow unit price is negatively correlated with the value score. And determining the base station with the value score larger than the preset value score in the plurality of first base stations as the base station to be accessed.
The electronic device 12 may be configured to interact with the base station access apparatus 11, for example, to send network status data for each of the plurality of first base stations to the base station access apparatus 11. Receiving the base station to be accessed sent by the base station access device 11.
Alternatively, the electronic device may be a physical machine, for example: desktop computers, also known as desktop computers or desktops (desktops), mobile phones, tablet computers, notebook computers, ultra-mobile personal computer (UMPC), netbooks, personal digital assistants (personal digital assistant, PDA), and other terminal devices, and the electronic device may also be a server, or may also be a server group formed by a plurality of servers.
Alternatively, the base station access device 11 may implement the functions to be implemented by the base station access device 11 through a Virtual Machine (VM) deployed on a physical machine.
Optionally, the base station access device 11 may also be an unmanned aerial vehicle device, so as to implement the functions to be implemented by the base station access device 11.
The base station access device 11 and the electronic device 12 may be independent devices, or may be integrated in the same device, which is not particularly limited in this application.
When the base station access device 11 and the electronic device 12 are integrated in the same device, the communication between the base station access device 11 and the electronic device 12 is performed by a communication between internal modules of the device. In this case, the communication flow therebetween is the same as "in the case where the base station access device 11 and the electronic apparatus 12 are independent of each other".
In the following embodiments provided in the present application, the present application will be described taking an example in which the base station access device 11 and the electronic apparatus 12 are provided independently of each other.
For easy understanding, the base station access method provided in the present application is specifically described below with reference to the accompanying drawings.
Fig. 2 is a flowchart illustrating a base station access method according to an exemplary embodiment, which may be applied to an electronic device, and may also be applied to a base station access apparatus connected to the electronic device. Meanwhile, the method can also be applied to equipment similar to electronic equipment or base station access devices. In the following, the method is described as applied to an electronic device, and as shown in fig. 2, the base station access method includes the following steps:
s201, the electronic equipment acquires network state data of each first base station in the plurality of first base stations.
Wherein the network status data comprises: signal strength value, traffic demand satisfaction, network congestion, used resource occupancy, and traffic unit price.
As one possible implementation manner, the electronic device obtains, through the sensing device, a maximum signal strength value, a minimum signal strength value, a signal strength value at a current time, a coverage area, an uplink rate, a downlink rate, a maximum number of access users, a minimum number of users, a number of access users at the current time, a used resource occupation ratio, and a flow unit price. And then, the electronic equipment determines the signal intensity value according to the maximum signal intensity value, the minimum signal intensity value, the signal intensity value at the current moment and the formula I.
Further, the electronic device determines the network congestion degree according to the maximum access user number, the minimum user number, the current access user number and the formula II. The electronic equipment acquires the service demand type and determines the service demand satisfaction degree according to the service demand type, the coverage area, the uplink rate and the downlink rate.
Wherein, formula one is as follows:
s is a signal strength value, A is a current signal strength value, b is a preset value, max1 is a maximum signal strength value, and in1 is a minimum signal strength value.
For example, the maximum signal strength value may be a maximum value of the signal strength values at the historic time in the plurality of historic dates, the minimum signal strength value may be a minimum value of the signal strength values at the historic time in the plurality of historic dates, and the preset value may be 115.
It should be noted that, the unit of the signal intensity value at the current time may be decibel milliwatt (decibel relative to one milliwatt, dbm), and the range of the signal intensity value is [0,1].
Wherein, formula two is as follows:
c is the network congestion degree, cur is the number of access users at the current moment, max2 is the maximum number of access users, and min2 is the minimum number of access users.
For example, the maximum number of access users may be the maximum number of access users at the historical time in the plurality of historical dates, the minimum number of access users may be the minimum number of access users at the historical time in the plurality of historical dates, and the value range of the used resource ratio is [0,1], and 1 represents that the network congestion degree is 100%.
Illustratively, the used resource duty cycle may be a ratio of the current used bandwidth of the base station to the rated bandwidth, where the value of the used resource duty cycle ranges from [0,1], and 1 indicates that the used resource duty cycle is 100%.
Illustratively, the network status data further includes a signal quality value, a channel utilization, and a channel stability.
Illustratively, the sensing device includes: a signal receiver and a sensor.
S202, the electronic equipment determines the value score of each first base station according to the network state data of each first base station.
Wherein the signal strength value is positively correlated with the value score, the business demand satisfaction is positively correlated with the value score, the network congestion is negatively correlated with the value score, the used resource ratio is negatively correlated with the value score, and the flow unit price is negatively correlated with the value score.
As one possible implementation manner, the electronic device determines, for each first base station, a value score of each first base station according to a signal strength value, a service requirement satisfaction degree, a network congestion degree, a used resource ratio, a traffic unit price and a formula three of each first base station.
Wherein, formula three may be as follows:
bid is a value score, S is a signal strength value, D is a service demand satisfaction degree, C is a network congestion degree, bid is R, p is a flow unit price, W1 is a first value, W2 is a second value, W3 is a third value, and W4 is a fourth value.
Illustratively, the sum of W1 and W2 is 1 and the sum of W4 of W3 is 1.
And S203, the electronic equipment determines the base station with the value score larger than the preset value score in the plurality of first base stations as the base station to be accessed.
As a possible implementation manner, the electronic device sorts the value scores in the plurality of first base stations in order from big to small, and determines the value score corresponding to the sorted second value score as the preset value score. And then, the electronic equipment determines the base station with the value score larger than the preset value score in the plurality of first base stations as the base station to be accessed.
It can be appreciated that in the prior art, determining the access base station according to the signal strength may cause frequent switching between two base stations of the unmanned aerial vehicle, which reduces the problem of network connection stability and cannot meet the network requirements of the unmanned aerial vehicle. The method comprises the steps of obtaining network state data of each first base station in a plurality of first base stations, and determining a value score of each first base station according to the network state data of each first base station. Wherein the network status data comprises: signal strength value, traffic demand satisfaction, network congestion, used resource occupancy, and traffic unit price. The signal strength value is positively correlated with the value score, the business demand satisfaction is positively correlated with the value score, the network congestion is negatively correlated with the value score, the used resource duty ratio is negatively correlated with the value score, and the flow unit price is negatively correlated with the value score. And then, determining the base station with the value score larger than the preset value score in the plurality of first base stations as the base station to be accessed. Therefore, the determined base station to be accessed is a base station with strong signal strength, small network congestion, low occupied ratio of used resources, low traffic demand satisfaction and low traffic unit price, the base station meeting the unmanned aerial vehicle traffic demand can be accurately determined, and the stability of the network is improved.
In some embodiments, in order to accurately determine the service requirement satisfaction degree of each first base station, as shown in fig. 3, the base station access method provided in the embodiment of the present application further includes:
s301, the electronic equipment acquires a service requirement type, a coverage area of each first base station in a plurality of first base stations, an uplink rate of each first base station and a downlink rate of each first base station.
S302, the electronic equipment determines the service requirement satisfaction degree of each first base station according to the service requirement threshold corresponding to the service requirement type.
Wherein the business requirement threshold comprises: coverage threshold, uplink rate threshold, downlink rate threshold.
In an exemplary case where the service requirement type is a video type, the coverage threshold corresponding to the service requirement type is a first coverage, the uplink rate threshold is a first uplink rate, and the downlink rate threshold is a first downlink rate. The electronic device determines that the coverage data V1 of the first base station is 1 when the coverage of the first base station is greater than or equal to the first coverage, and determines that the coverage data V1 of the first base station is 0 when the coverage of the first base station is less than the first coverage.
And then, the electronic equipment determines that the uplink rate data V2 of the first base station is 1 under the condition that the uplink rate of the first base station is greater than or equal to the first uplink rate, and determines that the uplink rate data V2 of the first base station is 0 under the condition that the uplink rate of the first base station is less than the first covering uplink rate. The electronic device determines that the downlink rate data V3 of the first base station is 1 when the downlink rate of the first base station is greater than or equal to the first downlink rate, and determines that the downlink rate data V3 of the first base station is 0 when the downlink rate of the first base station is less than the first coverage downlink rate. Further, the electronic device determines that the service requirement satisfaction degree of the first base station is (v1×a1+v2×a2+v3×a3) according to the coverage area data V1 of the first base station, the uplink rate data V2 of the first base station, the downlink rate data V3 of the first base station, the first preset coefficient a1, the second preset coefficient a2 and the third preset coefficient a 3.
For example, the first preset coefficient a1 may be 0.8, the second preset coefficient a2 may be 0.1, and the third preset coefficient a3 may be 0.1.
In an exemplary case where the service requirement type is the monitoring type, the coverage threshold corresponding to the service requirement type is the second coverage, the uplink rate threshold is the second uplink rate, and the downlink rate threshold is the second downlink rate. The electronic device determines that the coverage data V1 of the first base station is 1 when the coverage of the first base station is greater than or equal to the second coverage, and determines that the coverage data V1 of the first base station is 0 when the coverage of the first base station is less than the second coverage.
And then, the electronic equipment determines that the uplink rate data V2 of the first base station is 1 under the condition that the uplink rate of the first base station is greater than or equal to the second uplink rate, and determines that the uplink rate data V2 of the first base station is 0 under the condition that the uplink rate of the first base station is smaller than the second uplink rate. The electronic device determines that the downlink rate data V3 of the first base station is 1 when the downlink rate of the first base station is greater than or equal to the second downlink rate, and determines that the downlink rate data V3 of the first base station is 0 when the downlink rate of the first base station is less than the second downlink rate. Further, the electronic device determines that the service requirement satisfaction degree of the first base station is (v1×a1+v2×a2+v3×a3) according to the coverage area data V1 of the first base station, the uplink rate data V2 of the first base station, the downlink rate data V3 of the first base station, the first preset coefficient a1, the second preset coefficient a2 and the third preset coefficient a 3.
For example, the first preset coefficient a1 may be 0.4, the second preset coefficient a2 may be 0.3, and the third preset coefficient a3 may be 0.3.
In an exemplary case where the service requirement type is the emergency type, the coverage threshold corresponding to the service requirement type is a third coverage, the uplink rate threshold is a third uplink rate, and the downlink rate threshold is a third downlink rate. The electronic device determines that the coverage data V1 of the first base station is 1 when the coverage of the first base station is greater than or equal to the third coverage, and determines that the coverage data V1 of the first base station is 0 when the coverage of the first base station is less than the third coverage.
And then, the electronic equipment determines that the uplink rate data V2 of the first base station is 1 when the uplink rate of the first base station is greater than or equal to the third uplink rate, and determines that the uplink rate data V2 of the first base station is 0 when the uplink rate of the first base station is less than the third uplink rate. The electronic device determines that the downlink rate data V3 of the first base station is 1 when the downlink rate of the first base station is greater than or equal to the third downlink rate, and determines that the downlink rate data V3 of the first base station is 0 when the downlink rate of the first base station is less than the third downlink rate. Further, the electronic device determines that the service requirement satisfaction degree of the first base station is (v1×a1+v2×a2+v3×a3) according to the coverage area data V1 of the first base station, the uplink rate data V2 of the first base station, the downlink rate data V3 of the first base station, the first preset coefficient a1, the second preset coefficient a2 and the third preset coefficient a 3.
For example, the first preset coefficient a1 may be 0.1, the second preset coefficient a2 may be 0.1, and the third preset coefficient a3 may be 0.8.
It can be understood that the service demand satisfaction is determined according to the service demand type, the coverage area, the uplink rate and the downlink rate, and the service demand satisfaction can be accurately determined, so that the base station to be accessed, which is determined according to the service demand satisfaction later, is more accurate.
In some embodiments, the first base station satisfies a preset condition, where the preset condition includes: the time of accessing the base station is located at the base station of idle time period of the base station on the appointed date.
As one possible implementation manner, the electronic device obtains the unmanned aerial vehicle position, the unmanned aerial vehicle direction and the unmanned aerial vehicle speed, and determines the position corresponding to each moment of the unmanned aerial vehicle in the preset time period according to the unmanned aerial vehicle position, the unmanned aerial vehicle direction and the unmanned aerial vehicle speed. And the electronic equipment acquires the coverage area of each second base station in the plurality of second base stations, determines the second base station, corresponding to each moment in the preset time period, of the unmanned aerial vehicle in the coverage area as a third base station, and obtains the third base station corresponding to each moment.
Further, the electronic device obtains the idle period and the busy period of the third base station corresponding to each moment, and determines the third base station with the moment in the idle period as the second base station.
It can be understood that by determining the idle period and the busy period of the base station, the first base station with the access time being the idle period can be screened, so that the determined base station can meet the network requirement of the unmanned aerial vehicle.
In some embodiments, in order to obtain the idle period and the busy period of the specified date, as shown in fig. 4, the base station access method provided in the embodiment of the present application further includes:
S401, the electronic equipment acquires flow data of each first base station in the plurality of first base stations in a plurality of historical dates.
Wherein the flow data comprises: the number of user connections, or traffic usage data.
S402, the electronic equipment obtains a flow prediction model corresponding to each first base station according to flow data of the first base station in each historical time period in a plurality of historical time periods in each historical date in a plurality of historical dates.
As a possible implementation manner, the electronic device uses, for each first base station, flow data of each historical time period in a plurality of historical time periods in each historical date of the first base station as sample data, inputs the sample data into a flow model, and performs feature extraction and memory fusion on the sample data by a unit in the flow model to obtain a flow prediction model.
For example, the electronic device uses, as sample data, traffic data of each of 0 to 24 hours in 9 months 1 to 9 months 20 days of the first base station, inputs the sample data into a traffic model, and performs feature extraction and memory fusion on the sample data by a unit in the traffic model to obtain a traffic prediction model.
The flow model may be a long-term short-term memory (long short term memory, LSTM) model. The flow model may also be a time series model.
S403, the electronic device obtains predicted flow data of each specified time period in a plurality of specified time periods in the specified date of the first base station according to the flow prediction model corresponding to the first base station.
As one possible implementation, the electronic device inputs the plurality of specified time periods within the specified date into the flow prediction model to obtain predicted flow data for each of the plurality of specified time periods within the specified date.
Illustratively, the electronic device inputs 0 to 24 hours within 9 months 21 days into the flow prediction model, resulting in predicted flow data for each of the 0 to 24 hours within 9 months 21 days.
S404, the electronic equipment determines the idle time period and the busy time period of the first base station in the appointed date according to the flow data of each historical time period and the predicted flow data of each appointed time period so as to obtain the idle time period and the busy time period of each first base station in the appointed date in the plurality of first base stations.
As one possible implementation, the electronic device determines, from the flow data of each historical period and the predicted flow data of each specified period, a flow data average value of the flow data of each historical period and the predicted flow data of each specified period, and determines a period in which the flow data average value is maximum as a busy period of the specified date, and a period in which the flow data average value is minimum as an idle period of the specified date.
Illustratively, taking a history of 9 months 15 to 9 months 20, a specified date of 9 months 21, and a time period of 1 hour as an example, the electronic device averages the flow data of each hour within 9 months 15 days, 9 months 16 days, 9 months 17 days, 9 months 18 days, 9 months 19 days, 9 months 20 days and the predicted flow data of each hour within 9 months 21 days to obtain an average value of 24 hours, and determines the hour with the largest average value as a busy period of 9 months 21 days, and the hour with the smallest average value as an idle period of 9 months 21 days.
It can be appreciated that the traffic data within the specified date can be predicted by the traffic prediction model, and thus the network usage peaks and network usage valleys of the first base station at different time periods can be determined. In this way, the accuracy of the subsequent determination of the band access base station can be improved.
The foregoing description of the solution provided in the embodiments of the present application has been mainly presented in terms of a method. In order to achieve the above functions, the base station access device or the electronic equipment includes a hardware structure and/or a software module for performing each function. Those of skill in the art will readily appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, according to the above method, the base station access device or the electronic device may be exemplarily divided into functional modules, for example, the base station access device or the electronic device may include each functional module corresponding to each functional division, 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.
Fig. 5 is a block diagram illustrating a base station access device 500 according to an example embodiment. As shown in fig. 5, the base station access apparatus 500 includes an acquisition unit 501, a determination unit 502, and a processing unit 503.
An acquiring unit 501 is configured to acquire network status data of each of the plurality of first base stations. The network status data includes: signal strength value, traffic demand satisfaction, network congestion, used resource occupancy, and traffic unit price.
A determining unit 502, configured to determine a value score of each first base station according to the network status data of each first base station. The signal strength value is positively correlated with the value score, the business demand satisfaction is positively correlated with the value score, the network congestion is negatively correlated with the value score, the used resource duty ratio is negatively correlated with the value score, and the flow unit price is negatively correlated with the value score.
The determining unit 502 is further configured to determine, as the base station to be accessed, a base station whose value score is greater than a preset value score from the plurality of first base stations.
Optionally, in order to accurately determine the service requirement satisfaction degree of each first base station, as shown in fig. 5, the acquiring unit 501 is further configured to acquire a service requirement type, a coverage area of each first base station in the plurality of first base stations, an uplink rate of each first base station, and a downlink rate of each first base station.
The determining unit 502 is further configured to determine, according to a service requirement threshold corresponding to the service requirement type, a service requirement satisfaction degree of each first base station. The business requirement threshold includes: coverage threshold, uplink rate threshold, downlink rate threshold.
Optionally, the first base station meets a preset condition, where the preset condition includes: the time of accessing the base station is in idle time period of the base station on the appointed date.
Alternatively, in order to acquire the idle period and the busy period in the specified date, the acquisition unit 501 is further configured to acquire traffic data of each of the plurality of first base stations in a plurality of history dates, as shown in fig. 5. The flow data includes: the number of user connections, or traffic usage data.
The processing unit 503 is configured to obtain, for each first base station, a traffic prediction model corresponding to the first base station according to traffic data of the first base station in each of a plurality of historical time periods in each of a plurality of historical dates.
The processing unit 503 is further configured to obtain predicted traffic data of each of a plurality of specified time periods within the specified date of the first base station according to a traffic prediction model corresponding to the first base station.
The determining unit 502 is further configured to determine, according to the traffic data of each historical time period and the predicted traffic data of each specified time period, an idle time period and a busy time period of the first base station in the specified date, so as to obtain the idle time period and the busy time period of each first base station in the plurality of first base stations in the specified date.
Fig. 6 is a block diagram of an electronic device, according to an example embodiment. As shown in fig. 6, electronic device 600 includes, but is not limited to: a processor 601 and a memory 602.
The memory 602 is used for storing executable instructions of the processor 601. It will be appreciated that the processor 601 is configured to execute instructions to implement the address management method of the above embodiments.
It should be noted that the electronic device structure shown in fig. 6 is not limited to the electronic device, and the electronic device may include more or less components than those shown in fig. 6, or may combine some components, or may have different arrangements of components, as will be appreciated by those skilled in the art.
The processor 601 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 602, and calling data stored in the memory 602, thereby performing overall monitoring of the electronic device. The processor 601 may include one or more processing units. Alternatively, the processor 601 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., and a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 601.
The memory 602 may be used to store software programs as well as various data. The memory 602 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for at least one functional module, and the like (e.g., a determination unit, a processing unit, an acquisition unit). In addition, the memory 602 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
In an exemplary embodiment, a computer readable storage medium is also provided, e.g. a memory, comprising instructions executable by a processor of an electronic device to implement the address management method in the above-described embodiment.
In actual implementation, the functions of the acquisition unit 501, the determination unit 502, and the processing unit 503 may be implemented by the processor 601 in fig. 6 calling a computer program stored in the memory 602. For a specific implementation process, reference may be made to the description of the address management method in the above embodiment, and details are not repeated here.
Alternatively, the computer readable storage medium may be a non-transitory computer readable storage medium, for example, a read-only memory (ROM), a random-access memory (random access memory, RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, the present application also provides a computer program product comprising one or more instructions executable by a processor of an electronic device to perform the method of the above-described embodiment.
It should be noted that, when the instructions in the computer readable storage medium or one or more instructions in the computer program product are executed by the processor of the electronic device, the processes of the foregoing method embodiments are implemented, and the technical effects similar to those of the foregoing method can be achieved, so that repetition is avoided, and no further description is provided herein.
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 modules or units is merely a logical function 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 shown 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 essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including 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 of 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.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A base station access method, comprising:
acquiring network state data of each first base station in a plurality of first base stations; the network status data includes: signal strength value, service demand satisfaction, network congestion, used resource occupancy rate and flow unit price;
determining a value score of each first base station according to the network state data of each first base station; the signal strength value is positively correlated with the value score, the business demand satisfaction is positively correlated with the value score, the network congestion level is negatively correlated with the value score, the used resource duty cycle is negatively correlated with the value score, and the traffic unit price is negatively correlated with the value score;
and determining the base stations with the value scores larger than the preset value scores in the plurality of first base stations as the base stations to be accessed.
2. The method according to claim 1, wherein the method further comprises:
acquiring a service demand type, a coverage area of each first base station in the plurality of first base stations, an uplink rate of each first base station and a downlink rate of each first base station;
determining the service demand satisfaction degree of each first base station according to the service demand threshold corresponding to the service demand type; the business requirement threshold includes: coverage threshold, uplink rate threshold, downlink rate threshold.
3. The method of claim 2, wherein the first base station satisfies a preset condition, the preset condition comprising: the time of accessing the base station is positioned in the idle time period of the base station on the appointed date.
4. A method according to claim 3, characterized in that the method further comprises:
acquiring flow data of each first base station in the plurality of first base stations in a plurality of historical dates; the flow data includes: the number of user connections, or traffic usage data;
aiming at each first base station, obtaining a flow prediction model corresponding to the first base station according to the flow data of the first base station in each historical time period in a plurality of historical time periods in each historical date in a plurality of historical dates;
Obtaining predicted flow data of each specified time period in a plurality of specified time periods in the specified date by the first base station according to a flow prediction model corresponding to the first base station;
and determining the idle time period and the busy time period of the first base station in the appointed date according to the flow data of each historical time period and the predicted flow data of each appointed time period so as to obtain the idle time period and the busy time period of each first base station in the appointed date.
5. A base station access device, characterized in that the device comprises an acquisition unit and a determination unit;
the acquisition unit is used for acquiring network state data of each first base station in the plurality of first base stations; the network status data includes: signal strength value, service demand satisfaction, network congestion, used resource occupancy rate and flow unit price;
the determining unit is used for determining the value score of each first base station according to the network state data of each first base station; the signal strength value is positively correlated with the value score, the business demand satisfaction is positively correlated with the value score, the network congestion level is negatively correlated with the value score, the used resource duty cycle is negatively correlated with the value score, and the traffic unit price is negatively correlated with the value score;
The determining unit is further configured to determine, as the base station to be accessed, a base station whose value score is greater than a preset value score in the plurality of first base stations.
6. The apparatus of claim 5, wherein the acquisition unit is further configured to,
acquiring a service demand type, a coverage area of each first base station in the plurality of first base stations, an uplink rate of each first base station and a downlink rate of each first base station;
the determining unit is further configured to determine, according to a service requirement threshold corresponding to the service requirement type, a service requirement satisfaction degree of each first base station; the business requirement threshold includes: coverage threshold, uplink rate threshold, downlink rate threshold.
7. The apparatus of claim 6, wherein the first base station satisfies a preset condition, the preset condition comprising: the time of accessing the base station is positioned in the idle time period of the base station on the appointed date.
8. The apparatus of claim 7, further comprising a processing unit;
the acquisition unit is further used for acquiring flow data of each first base station in the plurality of first base stations in a plurality of historical dates; the flow data includes: the number of user connections, or traffic usage data;
The processing unit is configured to obtain, for each first base station, a traffic prediction model corresponding to the first base station according to traffic data of the first base station in each of a plurality of historical time periods in each of the plurality of historical dates;
the processing unit is further used for obtaining predicted flow data of each specified time period in a plurality of specified time periods in the specified date according to the flow prediction model corresponding to the first base station;
the determining unit is further configured to determine, according to the traffic data of each historical time period and the predicted traffic data of each specified time period, an idle time period and a busy time period of the first base station within the specified date, so as to obtain an idle time period and a busy time period of each of the plurality of first base stations within the specified date.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any of claims 1-4.
10. A computer readable storage medium, characterized in that, when computer-executable instructions stored in the computer readable storage medium are executed by a processor of an electronic device, the electronic device is capable of performing the method of any of claims 1-4.
CN202311511571.7A 2023-11-13 2023-11-13 Base station access method, device, equipment and storage medium Pending CN117395742A (en)

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Application Number Priority Date Filing Date Title
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