Fair Non-Orthogonal Multiple Access Communication Systems with Reconfigurable Intelligent Surface

被引：0

作者：

Xu, Yun ^{[1
]}

Chen, Ming ^{[1
]}

Yang, Zhaohui ^{[2
]}

Liu, Yuanwei ^{[3
]}

Long, Hui ^{[1
]}

Shikh-Bahaei, Mohammad ^{[2
]}

机构：

[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Peoples R China

[2] Kings Coll London, Dept Informat Engn, Ctr Telecommun Res, London WC2B 4BG, England

[3] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England

来源：

2020 IEEE 31ST ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (IEEE PIMRC) | 2020年

基金：

中国国家自然科学基金;

关键词：

Reconfigurable intelligent surface; nonorthogonal multiple access; power allocation; phase shift optimization; 5G;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Reconfigurable intelligent surface (RIS) is a promising solution to improve spectrum efficiency and promote cost-effectively wireless communication in the fiiture. In this paper, RIS is deployed between a single-antenna base station (BS) and multiple single-antenna users to assist downlink non-orthogonal multiple access (NOMA) transmission. Considering the fairness among users, our goal is jointly optimizing the power allocation, decoding order, and the phase shifts to maximize the minimum user rate under total power constraint. To solve this minimum rate maximization problem, the optimal power allocation and the optimal fair rate are first revealed with a given phase shift vector. Then, the phase shift vector is optimized via maximizing the worst channel gain, which can determine the lower bound of the fair rate. The phase shift vector optimization problem is relaxed to a convex semidefinite program (SDP) and an efficient algorithm is proposed to obtain a rank-one solution. Simulation results show that our proposed algorithm can enhance the fair rate compared to the conventional scheme.

引用

页数：6

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