TY - GEN
T1 - Beamforming Design for Double-RIS Assisted UAV Communication with Limited Feedback in Disaster Scenarios
AU - Shang, Sihui
AU - Xu, Dongyang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Reconfigurable intelligent surfaces (RIS) assisted unmanned aerial vehicle (UAV) communication can enhance wireless communication in disaster scenarios. However, the critical challenge lies in improving the communication throughput under the joint design of channel acquisition and beamforming with limited percision codebook. In this paper, we consider using cascaded double-RIS assisted UAV of multi-hop communications with limited feedback multiple-input single-output (MISO). And the steepest descent method (SDM) based beamforming design scheme and a codebook based channel quantization feedback mechanism were proposed. Then, we establish an optimization problem of maximizing the system throughput to realize the design of beamforming, with the constraints of transmission power and RISs phase-shift. The SDM based alternating iterative optimization algorithm is proposed to solve this problem with low complexity. The final simulation results show that our proposed optimization algorithm can improve the system throughput.
AB - Reconfigurable intelligent surfaces (RIS) assisted unmanned aerial vehicle (UAV) communication can enhance wireless communication in disaster scenarios. However, the critical challenge lies in improving the communication throughput under the joint design of channel acquisition and beamforming with limited percision codebook. In this paper, we consider using cascaded double-RIS assisted UAV of multi-hop communications with limited feedback multiple-input single-output (MISO). And the steepest descent method (SDM) based beamforming design scheme and a codebook based channel quantization feedback mechanism were proposed. Then, we establish an optimization problem of maximizing the system throughput to realize the design of beamforming, with the constraints of transmission power and RISs phase-shift. The SDM based alternating iterative optimization algorithm is proposed to solve this problem with low complexity. The final simulation results show that our proposed optimization algorithm can improve the system throughput.
KW - double-RIS
KW - feedback
KW - steepest descent method (SDM)
KW - unmanned aerial vehicle (UAV)
UR - https://www.scopus.com/pages/publications/85169805659
U2 - 10.1109/VTC2023-Spring57618.2023.10200825
DO - 10.1109/VTC2023-Spring57618.2023.10200825
M3 - 会议稿件
AN - SCOPUS:85169805659
T3 - IEEE Vehicular Technology Conference
BT - 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Y2 - 20 June 2023 through 23 June 2023
ER -