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WO2022032620A1 - Procédé de déploiement pour station de base de véhicule aérien sans pilote, système, dispositif et support de stockage - Google Patents

Procédé de déploiement pour station de base de véhicule aérien sans pilote, système, dispositif et support de stockage Download PDF

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Publication number
WO2022032620A1
WO2022032620A1 PCT/CN2020/109112 CN2020109112W WO2022032620A1 WO 2022032620 A1 WO2022032620 A1 WO 2022032620A1 CN 2020109112 W CN2020109112 W CN 2020109112W WO 2022032620 A1 WO2022032620 A1 WO 2022032620A1
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WO
WIPO (PCT)
Prior art keywords
user terminals
cluster
priority
weight
user terminal
Prior art date
Application number
PCT/CN2020/109112
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English (en)
Chinese (zh)
Inventor
饶鹏
王体
Original Assignee
海能达通信股份有限公司
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Filing date
Publication date
Application filed by 海能达通信股份有限公司 filed Critical 海能达通信股份有限公司
Priority to PCT/CN2020/109112 priority Critical patent/WO2022032620A1/fr
Publication of WO2022032620A1 publication Critical patent/WO2022032620A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/14—Relay systems
    • H04B7/15—Active relay systems
    • H04B7/185—Space-based or airborne stations; Stations for satellite systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools

Definitions

  • the present invention relates to the field of communication technologies, and in particular, to a deployment method, system, device and storage medium of an unmanned aerial vehicle base station.
  • the target area is mainly divided into multiple cells according to the shape and area of the target area where the UAV works, and then the center position of each cell is used as the initial base station deployment.
  • the existing method of deploying base stations for UAVs needs to know the shape and area of the target area in advance, which is difficult to achieve.
  • the clustering of all the user terminals based on the number of clusters includes:
  • the clustering of all the user terminals based on the number of clusters includes:
  • the location information of all the user terminals is added to the corresponding weight of the user terminal to perform clustering.
  • the determining the weight of each of the user terminals includes:
  • the product of the static priority of each user terminal and the corresponding static priority weight is calculated respectively, and the product of the static priority of the user terminal and the corresponding static priority weight is determined as the weight of the user terminal.
  • the determining the weight of each of the user terminals includes:
  • the determining the weight of each of the user terminals includes:
  • the determining the weight of each of the user terminals includes:
  • the method further includes:
  • the method further includes:
  • a deployment system for a drone base station comprising:
  • a first determining module configured to determine the number of clusters based on the total number of user terminals and the number of user terminals supported by the cell;
  • the first judgment module is used to respectively compare whether the maximum distance from the center position of each cluster to the edge of the corresponding cluster is greater than the preset support radius of the cell;
  • the second determination module is configured to determine the center position of each cluster as the UAV base station when the maximum distance from the center position of each cluster to the edge of the corresponding cluster is less than or equal to the preset support radius of the cell deployment location;
  • a first obtaining module configured to obtain the number of user terminals newly accessed by the cell
  • the system further includes:
  • the third judgment module is configured to judge whether the clustering duration of the clustering timer exceeds the preset clustering duration of the clustering timer, and if so, re-determine the deployment position of the UAV base station.
  • a device at least one processor, and at least one memory and bus connected to the processor; wherein, the processor and the memory communicate with each other through the bus; the processor is used to call all The program instructions in the memory are used to execute the above-mentioned deployment method of the UAV base station.
  • a storage medium storing computer-executable instructions, when the computer-executable instructions are loaded and executed by a processor, the above-mentioned deployment method of a UAV base station is implemented.
  • FIG. 2 is a method flowchart of Embodiment 2 of a method for deploying a UAV base station disclosed in the present invention
  • Embodiment 4 is a schematic structural diagram of Embodiment 1 of a deployment system for a UAV base station disclosed in the present invention
  • FIG. 7 is a schematic structural diagram of an embodiment of a device disclosed in the present invention.
  • S101 Determine the number of clusters based on the total number of user terminals and the number of user terminals supported by the cell;
  • the center position of each cluster is determined as the deployment position of the UAV base station. For example, when the maximum distance from the center position of each cluster of the K clusters to the edge of the corresponding cluster is less than or equal to the preset support radius of the cell, the center positions of the K clusters are respectively determined as no The deployment location of the human-machine base station.
  • the number of clusters K is increased by 1 , and then cluster all user terminals again according to the number of K+1 clusters, re-determine the center position of each cluster and the range of the corresponding cluster, and then compare each re-determined cluster.
  • the center position of each cluster of the re-determined K+1 clusters is determined as no The deployment position of the human-machine base station; if so, then add 1 to the current number of clusters, that is, the number of clusters after the increase is K+2, and then perform a second step on all user terminals according to the number of K+2 clusters.
  • Clustering re-determine the center position of each cluster and the range of the corresponding cluster, and then compare whether the maximum distance from the center position of each re-determined cluster to the edge of the corresponding cluster is greater than The preset support radius of the cell.
  • the center position of each cluster of the re-determined K+2 clusters is determined as the deployment position of the UAV base station. If so, then the current cluster is determined. Add 1 to the number, and repeat the above process until the maximum distance from the center of each cluster determined by clustering all user terminals to the edge of the corresponding cluster is less than or equal to the cell preset The radius is supported, and the re-determined center position of each cluster is determined as the deployment position of the UAV base station.
  • the number of clusters is determined based on the total number of user terminals and the number of user terminals supported by the cell; Perform clustering to determine the center position of each cluster and the range of the corresponding cluster; respectively compare whether the maximum distance from the center position of each cluster to the edge of the corresponding cluster is greater than the preset support radius of the cell, If not, determine the center position of each cluster as the deployment position of the UAV base station, if yes, then: increase the number of clusters in sequence until all user terminals are clustered based on the re-determined number of clusters The determined maximum distance from the center position of each cluster to the edge of the corresponding cluster is less than or equal to the preset support radius of the cell, and the re-determined center position of each cluster is determined as the deployment of the UAV base station Location.
  • FIG. 2 it is a flow chart of the method of Embodiment 2 of a method for deploying a UAV base station disclosed on the basis of the above-mentioned method Embodiment 1.
  • the method may include the following steps:
  • S207 Determine whether the total number of user terminals accessed by the cell exceeds the number of user terminals supported by the cell based on the number of newly accessed user terminals in the cell, and if so, re-determine the deployment of the UAV base station based on the total number of user terminals accessed by the cell Location.
  • the total number of user terminals accessed by the cell exceeds the number of user terminals supported by the cell. For example, when the number of user terminals newly accessed in the cell is A, and the total number of user terminals originally accessed in the cell is M, determine the sum of the number of user terminals newly accessed in the cell and the total number of user terminals originally accessed in the cell Whether A+M is greater than the number B of user terminals supported by the cell, when A+M is greater than B, the deployment location of the UAV base station is re-determined based on the total number of user terminals A+M accessed by the cell.
  • this embodiment can further obtain the number of user terminals newly accessed by the cell in the process of determining the deployment location of the unmanned concentration.
  • the deployment location of the UAV base station can be re-determined based on the total number of user terminals accessed by the current cell.
  • FIG. 3 it is a flow chart of the method of Embodiment 3 of a method for deploying a UAV base station disclosed on the basis of the above-mentioned method Embodiment 1.
  • the method may include the following steps:
  • the current clustering duration of the clustering timer is acquired in real time.
  • S307 Determine whether the clustering duration of the clustering timer exceeds the preset clustering duration of the clustering timer, and if so, re-determine the deployment position of the UAV base station.
  • step S301 it is judged whether the current clustering duration of the clustering timer obtained in real time exceeds the preset clustering duration of the clustering timer, and when the current clustering duration of the clustering timer exceeds the preset clustering duration of the clustering timer, Then, the current clustering duration of the clustering timer is cleared and the process returns to step S301 to re-determine the deployment position of the UAV base station.
  • this embodiment can further obtain the clustering duration of the clustering timer in the process of determining the deployment location where no one is concentrated.
  • the clustering duration exceeds the preset clustering duration of the clustering timer, the deployment position of the UAV base station is re-determined.
  • one of the implementation manners of clustering all user terminals based on the number of clusters may be: first determine the location information of each user terminal, and then based on the number of clusters and each The location information of the user terminal is used to cluster all user terminals.
  • Another implementation manner may be: first determine the location information of each user terminal, determine the weight of each user terminal, and then cluster the location information of all user terminals plus the weight of the corresponding user terminal based on the number of clusters. kind.
  • one of the above-mentioned implementations for determining the weight of each user terminal may be: first obtain the static priority of each user terminal and the corresponding static priority weight, and then calculate the static priority and the corresponding static priority weight of each user terminal respectively.
  • the product of the corresponding static priority weights determines the product of the static priority of the user terminal and the corresponding static priority weight as the weight of the user terminal.
  • the weight of the user terminal is determined by the product of the static priority of the user terminal and the weight of the static priority.
  • one of the above-mentioned implementation manners of determining the weight of each user terminal may also be as follows: firstly obtain the static priority of each user terminal and the corresponding static priority weight, and obtain the dynamic priority of each user terminal and the corresponding static priority weight. Then calculate the product of the static priority of each user terminal and the corresponding static priority weight, as well as the product of the dynamic priority of the user terminal and the corresponding dynamic priority weight, and calculate the static priority of the user terminal. The sum of the product of the level and the corresponding static priority weight and the product of the dynamic priority of the user terminal and the corresponding dynamic priority weight is determined as the weight of the user terminal.
  • the weight of the user terminal is determined by the sum of the product of the static priority of the user terminal and the weight of the static priority and the product of the dynamic priority of the user terminal and the weight of the dynamic priority.
  • the preset weights can be distinguished. Privileged user terminals, common user terminals, etc., and dynamically adjust the priority according to actual needs, so that when laying out the UAV base station, the static priority and dynamic priority of the user terminal can be considered, making the layout position of the base station more accurate and reasonable. .
  • one of the above-mentioned implementation manners of determining the weight of each user terminal may also be as follows: firstly obtain the static priority of each user terminal and the corresponding static priority weight, and obtain the dynamic priority of each user terminal and the corresponding static priority weight. obtain the uplink service priority of each user terminal and the corresponding uplink service priority weight; then calculate the product of the static priority of each user terminal and the corresponding static priority weight, and the dynamic priority of the user terminal.
  • the weight of the user terminal is determined as the product of the dynamic priority of the user terminal and the corresponding dynamic priority weight, and the product of the uplink service priority of the user terminal and the corresponding uplink service priority weight.
  • one of the above-mentioned implementation manners for determining the weight of each user terminal may also be as follows: first obtain the static priority of each user terminal and the corresponding static priority weight, and obtain the dynamic priority of each user terminal and the corresponding static priority weight.
  • the static priority, dynamic priority, uplink service priority and frequency, downlink service priority and frequency of user obtains the uplink service priority of each user terminal and the corresponding uplink service priority weight, obtains the downlink service priority of each user terminal and the corresponding downlink service priority weight; then calculates each user terminal separately The product of the static priority of the terminal and the corresponding static priority weight, the product of the dynamic priority of the user terminal and the corresponding dynamic priority weight, the product of the uplink service priority of the user terminal and the corresponding uplink service priority weight, and The product of the user terminal's downlink service priority and the corresponding downlink service priority weight; the product of the user terminal's static priority and the corresponding static priority weight, the user terminal's dynamic priority and the corresponding product of the dynamic priority weight , the sum of the product of the uplink service priority of the user terminal and the corresponding uplink service priority weight, and the sum of the product of the user terminal's downlink service priority and the corresponding downlink service priority weight is determined as the weight of the user terminal.
  • FIG. 4 it is a schematic structural diagram of Embodiment 1 of a deployment system for a UAV base station disclosed in the present invention.
  • the system may include:
  • a first determining module 401 configured to determine the number of clusters based on the total number of user terminals and the number of user terminals supported by the cell;
  • the clustering module 402 is used for clustering all user terminals based on the number of clusters, and determining the center position of each cluster and the range of the corresponding cluster;
  • the first judgment module 403 is used to compare whether the maximum distance from the center position of each cluster to the edge of the corresponding cluster is greater than the preset support radius of the cell;
  • the second determination module 404 is configured to determine the center position of each cluster as the UAV when the maximum distance from the center position of each cluster to the edge of the corresponding cluster is less than or equal to the preset support radius of the cell The deployment location of the base station;
  • a module 405 is added for, when the maximum distance from the center position of each cluster to the edge of the corresponding cluster is greater than the preset support radius of the cell, the number of clusters is increased in turn, until the number of clusters based on the re-determined number of clusters is paired
  • the maximum distance from the center position of each cluster determined by all the user terminals to the edge of the corresponding cluster is less than or equal to the preset support radius of the cell, and the center position of each cluster will be re-determined Determine the deployment location of the drone base station.
  • the working principle of the deployment system of the UAV base station disclosed in this embodiment is the same as that of Embodiment 1 of the above-mentioned deployment method of the UAV base station, and will not be repeated here.
  • FIG. 5 it is a schematic structural diagram of Embodiment 2 of a deployment system for a UAV base station disclosed in the present invention.
  • the system may include:
  • a first determining module 501 configured to determine the number of clusters based on the total number of user terminals and the number of user terminals supported by the cell;
  • the clustering module 502 is used for clustering all user terminals based on the number of clusters, and determining the center position of each cluster and the range of the corresponding cluster;
  • the first judgment module 503 is used to compare whether the maximum distance from the center position of each cluster to the edge of the corresponding cluster is greater than the preset support radius of the cell;
  • the second determination module 504 is configured to determine the center position of each cluster as the UAV when the maximum distance from the center position of each cluster to the edge of the corresponding cluster is less than or equal to the preset support radius of the cell The deployment location of the base station;
  • a module 505 is added, for when the maximum distance from the center position of each cluster to the edge of the corresponding cluster is greater than the preset support radius of the cell, the number of clusters is incremented successively, until the number of clusters based on the re-determined number is paired
  • the maximum distance from the center position of each cluster determined by all the user terminals to the edge of the corresponding cluster is less than or equal to the preset support radius of the cell, and the center position of each cluster will be re-determined Determine the deployment location of the drone base station.
  • a first obtaining module 506, configured to obtain the number of user terminals newly accessed by the cell
  • the second judgment module 507 is configured to judge, based on the number of user terminals newly accessed by the cell, whether the total number of user terminals accessed by the cell exceeds the number of user terminals supported by the cell, and if so, re-determine based on the total number of user terminals accessed by the cell The deployment location of the drone base station.
  • the working principle of the deployment system of the UAV base station disclosed in this embodiment is the same as the working principle of Embodiment 2 of the above-mentioned deployment method of the UAV base station, and will not be repeated here.
  • FIG. 6 it is a schematic structural diagram of Embodiment 3 of a deployment system for a UAV base station disclosed in the present invention.
  • the system may include:
  • a first determining module 601 configured to determine the number of clusters based on the total number of user terminals and the number of user terminals supported by the cell;
  • the clustering module 602 is configured to cluster all user terminals based on the number of clusters, and determine the center position of each cluster and the range of the corresponding cluster;
  • the first judgment module 603 is used to compare whether the maximum distance from the center position of each cluster to the edge of the corresponding cluster is greater than the preset support radius of the cell;
  • the second determination module 604 is configured to determine the center position of each cluster as the UAV when the maximum distance from the center position of each cluster to the edge of the corresponding cluster is less than or equal to the preset support radius of the cell The deployment location of the base station;
  • a module 605 is added, for when the maximum distance from the center position of each cluster to the edge of the corresponding cluster is greater than the preset support radius of the cell, the number of clusters is incremented successively, until the number of clusters based on the re-determined number of clusters is paired
  • the maximum distance from the center position of each cluster determined by all the user terminals to the edge of the corresponding cluster is less than or equal to the preset support radius of the cell, and the center position of each cluster will be re-determined Determine the deployment location of the drone base station.
  • a second obtaining module 606, configured to obtain the clustering duration of the clustering timer
  • the third determination module 607 is configured to determine whether the clustering duration of the clustering timer exceeds the preset clustering duration of the clustering timer, and if so, re-determine the deployment position of the UAV base station.
  • the device includes: at least one processor 701, and at least one memory 702 and a bus 703 connected to the processor 701; wherein the processor 701.
  • the memory 702 completes the mutual communication through the bus 703; the processor 701 is configured to call the program instructions in the memory 702 to execute any of the above-mentioned deployment methods of the UAV base station.
  • the present invention also discloses a storage medium that stores computer-executable instructions, and when the computer-executable instructions are loaded and executed by a processor, any of the above-mentioned deployment methods for UAV base stations are implemented.
  • a software module can be placed in random access memory (RAM), internal memory, read only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other in the technical field. in any other known form of storage medium.
  • RAM random access memory
  • ROM read only memory
  • electrically programmable ROM electrically erasable programmable ROM
  • registers hard disk, removable disk, CD-ROM, or any other in the technical field. in any other known form of storage medium.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Astronomy & Astrophysics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • General Physics & Mathematics (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente demande divulgue un procédé de déploiement pour une station de base de véhicule aérien sans pilote, un système, un dispositif et un support de stockage, ledit procédé consistant : à déterminer un nombre de groupes sur la base d'un nombre total de terminaux utilisateurs et d'un certain nombre de terminaux utilisateurs pris en charge par une cellule ; à réaliser un regroupement sur l'ensemble des terminaux utilisateurs sur la base du nombre de groupes, et à déterminer une position centrale et une plage de groupes correspondante pour chaque groupe ; à comparer séparément si une distance la plus longue de la position centrale de chaque groupe à un bord correspondant dudit groupe est supérieure à un rayon pris en charge prédéfini pour une cellule, si tel n'est pas le cas, à déterminer alors la position centrale de chaque groupe en tant que position de déploiement pour une station de base de véhicule aérien sans pilote, et si tel est le cas : à augmenter séquentiellement le nombre de groupes jusqu'à ce que la distance la plus longue d'une position centrale de chaque groupe à un bord correspondant dudit groupe soit inférieure ou égale au rayon pris en charge prédéfini pour la cellule, les groupes étant déterminés en réalisant un regroupement sur tous les terminaux utilisateurs sur la base du nombre de groupes redéterminé, puis à déterminer la position centrale de chaque groupe redéterminé en tant que position de déploiement pour une station de base de véhicule aérien sans pilote. La présente invention met en œuvre un déploiement de station de base de véhicule aérien sans pilote d'une manière simple et efficace.
PCT/CN2020/109112 2020-08-14 2020-08-14 Procédé de déploiement pour station de base de véhicule aérien sans pilote, système, dispositif et support de stockage WO2022032620A1 (fr)

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CN115002789B (zh) * 2022-05-24 2023-11-28 北京邮电大学 一种基于动态性通信资源的机动通信组网部署择优方法
CN115209424A (zh) * 2022-06-30 2022-10-18 北京邮电大学 一种基于椭圆覆盖模型的无人机基站分流部署方法
CN115209424B (zh) * 2022-06-30 2023-12-29 北京邮电大学 一种基于椭圆覆盖模型的无人机基站分流部署方法
CN114971423A (zh) * 2022-07-27 2022-08-30 北京航空航天大学 多ucav的协同任务分配方法、装置、电子设备及介质
CN114971423B (zh) * 2022-07-27 2022-10-04 北京航空航天大学 多ucav的协同任务分配方法、装置、电子设备及介质
WO2024174693A1 (fr) * 2023-02-22 2024-08-29 天翼云科技有限公司 Procédé et appareil de déploiement de dispositif de communication, dispositif électronique et support de stockage lisible
CN116132998A (zh) * 2023-03-30 2023-05-16 江西师范大学 一种基于路口中心度的城市边缘服务器部署方法
CN116132998B (zh) * 2023-03-30 2023-07-25 江西师范大学 一种基于路口中心度的城市边缘服务器部署方法

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