STAR-RIS Assisted MISO-NOMA Networks: A Simultaneous Signal Enhancement and Interference Mitigation Design

作     者：Li, Jie Song, Zhengyu Hou, Tianwei Huang, Chongwen Li, Anna Zhou, Gui Liu, Yuanwei 

作者机构：China Mobile Group Design Institute Company Ltd China Mobile Research and Development Center for Network Planning and Optimization Beijing100080 China Beijing Jiaotong University School of Electronic and Information Engineering Beijing100044 China Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Lancaster University School of Computing and Communications Lancaster United Kingdom Katholieke Universiteit Leuven KU Leuven Leuven Belgium  Institute for Digital Communications Erlangen91054 Germany The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Hong Kong 

出 版 物：《IEEE Transactions on Communications》 (IEEE Trans Commun)

年 卷 期：2024年

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0701[理学-数学] 

主　　题：Mobile telecommunication systems 

摘      要：Simultaneous transmitting and reflecting (STAR) reconfigurable intelligent surface (RIS) technique has recently received considerable attention due to its omni-directional radiation capability. In this paper, motivated by the interference-mitigation-based (IMB) and signal-enhancement-based (SEB) designs, we introduce an innovative STAR-RIS assisted simultaneous-signal-enhancement-and-interference-mitigation (SSEIM) design in non-orthogonal multiple access (NOMA) multiple-input single-output cellular communication networks. Our objective is to maximize the system spectral efficiency (SE) by jointly optimizing the reflection and transmission phase shifts at the STAR-RIS, the precoding matrix of BSs, and the power allocation factors of NOMA users. We propose a low-complexity simultaneous enhancement and mitigation algorithm. Furthermore, by exploiting the manifold optimization technique, we introduce the Riemannian conjugate gradient algorithm to solve the non-convex subproblems with unit modulus constraint. Our analysis reveals that the proposed SSEIM design exceeds the traditional RIS-aided SEB and IMB designs. © 1972-2012 IEEE.