中国邮电高校学报(英文版) ›› 2021, Vol. 28 ›› Issue (3): 11-19.doi: 10.19682/j.cnki.1005-8885.2021.0015

• Wireless • 上一篇    下一篇

Distributed cooperative deployment strategy in multi-UAVs assisted heterogeneous networks

张祎,张鹤立,纪红,李曦   

  1. 北京邮电大学
  • 收稿日期:2020-07-28 修回日期:2020-11-30 出版日期:2021-06-30 发布日期:2021-06-22
  • 通讯作者: 张鹤立 E-mail:zhangheli@bupt.edu.cn

Distributed cooperative deployment strategy in multi-UAVs assisted heterogeneous networks

  • Received:2020-07-28 Revised:2020-11-30 Online:2021-06-30 Published:2021-06-22
  • Contact: Zhang Heli E-mail:zhangheli@bupt.edu.cn

摘要:


Unmanned aerial vehicle base stations ( UAV-BSs) can provide a fast network deployment scheme for heterogeneous networks. However, unmanned aerial vehicle (UAV) has limited capability and cannot assist the base station (BS) well. The ability of a UAV to assist the BSs is limited, and the cluster deployment relies on the leading UAV. The dispersive deployment of multiple UAVs (multi-UAVs) need a macro base station (MBS) to determine their positions to prevent collisions or interference. Therefore, a distributed cooperative deployment scheme is proposed for UAVs to solve this problem. The scheme can increase the ability of UAVs to assist users and reduce the pressure on BSs to deploy UAVs. Firstly, the randomly distributed users are pre-clustered. Then the placement problem was modeled as a circle expansion problem and a pre-clustering radius expansion algorithm was proposed. Under the constraint of users-data rates, it provides services for more users. Finally, the proposed algorithm was compared with the density-aware placement algorithm. The simulation results show that the proposed algorithm can provide services for more users and improve the coverage rate of users while ensuring the data rates.


关键词:

unmanned aerial vehicle base stations (UAV-BSs), distributed cooperative, pre-clustering radius expansion algorithm, unmanned aerial

vehicles (UAVs) deployment

Abstract:


Unmanned aerial vehicle base stations ( UAV-BSs) can provide a fast network deployment scheme for heterogeneous networks. However, unmanned aerial vehicle (UAV) has limited capability and cannot assist the base station (BS) well. The ability of a UAV to assist the BSs is limited, and the cluster deployment relies on the leading UAV. The dispersive deployment of multiple UAVs (multi-UAVs) need a macro base station (MBS) to determine their positions to prevent collisions or interference. Therefore, a distributed cooperative deployment scheme is proposed for UAVs to solve this problem. The scheme can increase the ability of UAVs to assist users and reduce the pressure on BSs to deploy UAVs. Firstly, the randomly distributed users are pre-clustered. Then the placement problem was modeled as a circle expansion problem and a pre-clustering radius expansion algorithm was proposed. Under the constraint of users-data rates, it provides services for more users. Finally, the proposed algorithm was compared with the density-aware placement algorithm. The simulation results show that the proposed algorithm can provide services for more users and improve the coverage rate of users while ensuring the data rates.


Key words:

unmanned aerial vehicle base stations (UAV-BSs), distributed cooperative, pre-clustering radius expansion algorithm, unmanned aerial vehicles (UAVs) deployment