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.
This work was supported in part by the National Science Foundation of China under Grant 61561046, in part by Central government supports the reform and development of local universities of Tibet University in 2020, in part by Special fund for the development of local universities supported by the central finance of Tibet University in 2019, in part by Tibet University Special Fund Project for the Reform and Development of Local Colleges and Universities Supported by the Central Government in 2021 (The First-Class Discipline Cultivation Project), in part by Key Research & Development and Transformation Plan of Science and Technology Program for Tibet Autonomous Region (No.XZ201901-GB-16).
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Wen, Z., Dong, Z., Zhou, W., Zhao, J. (2022). The Optimal Layer of User-Specific Reconfigurable Intelligent Surfaces Structure for Uplink Communication System. In: Fang, F., Shu, F. (eds) Game Theory for Networks. GameNets 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 457. Springer, Cham. https://doi.org/10.1007/978-3-031-23141-4_4
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