STAR-RIS-UAV-Aided Coordinated Multipoint Cellular System for Multi-User Networks
Baihua Shi,
Yang Wang,
Danqi Li,
Wenlong Cai,
Jinyong Lin,
Shuo Zhang,
Weiping Shi,
Shihao Yan ,
Feng Shu
Affiliations
Baihua Shi
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Yang Wang
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Danqi Li
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Wenlong Cai
National Key Laboratory of Science and Technology on Aerospace Intelligence Control, Beijing Aerospace Automatic Control Institute, Beijing 100854, China
Jinyong Lin
National Key Laboratory of Science and Technology on Aerospace Intelligence Control, Beijing Aerospace Automatic Control Institute, Beijing 100854, China
Shuo Zhang
National Key Laboratory of Science and Technology on Aerospace Intelligence Control, Beijing Aerospace Automatic Control Institute, Beijing 100854, China
Weiping Shi
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Shihao Yan
School of Science and Security Research Institute, Edith Cowan University, Perth, WA 6027, Australia
Feng Shu
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Different from conventional reconfigurable intelligent surfaces (RIS), simultaneous transmitting and reflecting RIS (STAR-RIS) can reflect and transmit signals to the receiver. In this paper, to serve more ground users and increase deployment flexibility, we investigate an unmanned aerial vehicle (UAV) equipped with STAR-RIS (STAR-RIS-UAV)-aided wireless communications for multi-user networks. Energy splitting (ES) and mode switching (MS) protocols are considered to control the reflection and transmission coefficients of STAR-RIS elements. To maximize the sum rate of the STAR-RIS-UAV-aided coordinated multipoint (CoMP) cellular system for multi-user networks, the corresponding beamforming vectors as well as transmitted and reflected coefficient matrices are optimized. Specifically, instead of adopting the alternating optimization, we design an iteration method to optimize all variables for both the ES and MS protocols at the same time. Simulation results reveal that the STAR-RIS-UAV-aided CoMP system has a much higher sum rate than systems with conventional RIS or without RIS. Furthermore, the proposed structure is more flexible than fixed STAR-RIS and could greatly promote the sum rate.
