无人机全双工双向中继的资源及轨迹优化设计

北京邮电大学学报 ›› 2023, Vol. 46 ›› Issue (1): 77-83.

无人机全双工双向中继的资源及轨迹优化设计

周理辉¹,肖霖¹,吴法辉¹,杨鼎成¹,王雅鹏²

1. 南昌大学信息工程学院
2. 澳门理工大学应用科学学院

收稿日期:2021-12-01 修回日期:2022-05-01 出版日期:2023-02-28 发布日期:2023-02-22
通讯作者: 吴法辉 E-mail:wufahui@ncu.edu.cn
基金资助:
国家自然科学基金项目

Resource and Trajectory Optimal Design for Unmanned Aerial Vehicles Full Duplex Two-Way Relay

Received:2021-12-01 Revised:2022-05-01 Online:2023-02-28 Published:2023-02-22
Contact: WU Fahui E-mail:wufahui@ncu.edu.cn
Supported by:
National Natural Science Foundation of China;

摘要/Abstract

摘要： 无人机具有按需部署、高移动性和灵活性的优点,基于无人机的全双工双向中继网络能够进一步提升中继的覆盖范围,增强通信性能。为此,考虑利用无人机辅助多对地面用户进行双向中继通信,通过对无人机的轨迹、用户调度和功率分配的联合优化,实现用户对之间的平均最小可达速率最大化,提出了基于块坐标下降和连续凸近似的迭代求解算法。仿真结果表明,所提算法有效地提高了系统性能。

关键词: 无人机通信, 全双工双向中继, 用户调度, 轨迹优化

Abstract: Unmanned aerial vehicles have the advantages of on-demand deployment, high mobility and flexibility. The unmanned aerial vehicles-based full-duplex two-way relay network can further improve the coverage of the relay and enhance the communication performance. Therefore, the unmanned aerial vehicles assisted multi-pair ground users are considered to carry out two-way relay communication, and the average minimum reachable rate between user pairs is maximized by jointly optimizing unmanned aerial vehicles’ trajectory, user scheduling and power distribution. An iterative solution algorithm is proposed based on block coordinate descent and continuous convex approximation. Simulation results show that the proposed algorithm can effectively improve the system performance.

Key words: unmanned aerial vehicle communication, full-duplex two-way relay, , user scheduling, trajectory optimization

中图分类号:

TN925

周理辉肖霖吴法辉杨鼎成王雅鹏. 无人机全双工双向中继的资源及轨迹优化设计[J]. 北京邮电大学学报, 2023, 46(1): 77-83.

ZHOU Lihui, XIAO Lin, WU Fahui, YANG Dingcheng, WANG Yapeng. Resource and Trajectory Optimal Design for Unmanned Aerial Vehicles Full Duplex Two-Way Relay[J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(1): 77-83.

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