On sum-rate maximization in downlink UAV-aided RSMA systems

被引:2
|
作者
Hua, Duc-Thien [1 ]
Do, Quang Tuan [1 ]
Dao, Nhu-Ngoc [2 ]
Cho, Sungrae [1 ]
机构
[1] Chung Ang Univ, Sch Comp Sci & Engn, Seoul 06974, South Korea
[2] Ho Chi Minh City Open Univ, Fac Comp Sci, Ho Chi Minh City 70000, Vietnam
来源
ICT EXPRESS | 2024年 / 10卷 / 01期
基金
新加坡国家研究基金会;
关键词
Rate -splitting multiple access (RSMA); Uncrewed aerial vehicle (UAV) trajectory; Deep reinforcement learning; User mobility;
D O I
10.1016/j.icte.2023.03.001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The synergy of uncrewed aerial vehicles (UAVs) and the rate-splitting multiple access (RSMA) technique has thrived as a crucial enabler for multi-user broadband sixth-generation networks. This paper investigates a UAV-aided RSMA downlink communication system considering user mobility and the uniform rectangular array antenna design. In particular, the sum-rate maximization problem is formulated where the UAV beamforming matrix, common rate allocation, and UAV trajectory design are jointly optimized. The deep deterministic policy gradient (DDPG) approach has been proposed to address the nonconcave objective function. In addition, the safe action shaping technique is incorporated into the algorithm to satisfy the variable constraints of the problem statement. The numerical simulation results demonstrated that the proposed approach outperformed other benchmark schemes in various settings of transmit powers and fading environment levels. (c) 2023 The Authors. Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:15 / 21
页数:7
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