Research Article
The Optimal Layer of User-Specific Reconfigurable Intelligent Surfaces Structure for Uplink Communication System
@INPROCEEDINGS{10.1007/978-3-031-23141-4_4, author={Zihao Wen and Zhicheng Dong and Weixi Zhou and Jing Zhao}, title={The Optimal Layer of User-Specific Reconfigurable Intelligent Surfaces Structure for Uplink Communication System}, proceedings={Game Theory for Networks. 11th International EAI Conference, GameNets 2022, Virtual Event, July 7--8, 2022, Proceedings}, proceedings_a={GAMENETS}, year={2023}, month={1}, keywords={RIS US-RIS SCA Alternating optimization}, doi={10.1007/978-3-031-23141-4_4} }- Zihao Wen
Zhicheng Dong
Weixi Zhou
Jing Zhao
Year: 2023
The Optimal Layer of User-Specific Reconfigurable Intelligent Surfaces Structure for Uplink Communication System
GAMENETS
Springer
DOI: 10.1007/978-3-031-23141-4_4
Abstract
Reconfigurable intelligent surfaces (RIS) can be utilized for enhancing the communication quality, and are regarded as a promising six-generation (6G) technique. Especially, the RIS generally is deployed as a reflector or an intelligent transmission terminal. Most of the existing works have focused on the reflective RIS. In contrast, the recently emerged user-specific RIS (US-RIS) can improve performance for users at a low cost. Unlike reflective RIS, US-RIS can control the phase of the user uplink signal when the signal penetrates US-RIS. The purpose of this paper is to investigate the energy efficient of multi-layer US-RIS-aided uplink communication system with quality of service to find the optimal layer of US-RIS. To this end, we formula a joint optimization problem over several transmit beamforming vectors. An optimal energy efficient design which is based on alternating update and successive convex approximation (SCA) is proposed. Simulation results reveal that the number of elements has an impact on energy efficiency, which affects the optimal layer.
