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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

E-pub ahead of print
  • Jie Li
  • Zhengyu Song
  • Tianwei Hou
  • Chongwen Huang
  • Anna Li
  • Gui Zhou
  • Yuanwei Liu
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<mark>Journal publication date</mark>12/12/2024
<mark>Journal</mark>IEEE Transactions on Communications
Publication StatusE-pub ahead of print
Early online date12/12/24
<mark>Original language</mark>English

Abstract

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.