A Signal Enhancement Algorithm for Simultaneous-Transmitting- and-Reflecting Reconfigurable Intelligent Surface Based on Non-Orthogonal Multiple Access Networks

被引：0
|
作者：
Hou T. [1 ]
Li J. [1 ]
Wang J. [1 ]
Song Z. [1 ]
Sun X. [1 ]
机构：
[1] School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing
来源：
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2024年 / 47卷 / 01期
关键词：
non-orthogonal multiple access; outage probability; signal enhancement based algorithm; simultaneous-transmitting-and-reflecting reconfigurable intelligent surface; transmission rate;
D O I：
10.13190/j.jbupt.2022-279
中图分类号：
学科分类号：
摘要：
In order to overcome the non-transition issue of the conventional reconfigurable intelligent surface, a signal enhancement algorithm based on non-orthogonal multiple access networks is proposed, aided by simultaneous-transmitting-and-reflecting reconfigurable intelligent surfaces. By utilizing the omni property of the simultaneous-transmitting-and-reflecting reconfigurable intelligent surface, it is possible to serve multiple users on both sides simultaneously. Since the direct signal and the reflected signals through simultaneous-transmitting-and-reflecting reconfigurable intelligent surface can be coherent, and by utilizing the Riemannian conjugate gradient algorithm, the signal power level of non-orthogonal multiple access users can be significantly boosted by the proposed signal enhancement based algorithm. As a result, the outage probability is decreased and the transmission rate performance is enhanced. Simulation results show that an improvement of 3. 6 bit/ (s·Hz) spectral efficiency is observed in the random phase shift scenario, compared to the scenario without simultaneous-transmitting-and-reflecting reconfigurable intelligent surface. Furthermore, an extra 2. 3 bit/ (s·Hz) gain on the spectral efficiency can be obtained when the proposed Riemannian conjugate gradient algorithm is employed, which validates the superiority of the proposed algorithm. © 2024 Beijing University of Posts and Telecommunications. All rights reserved.
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页码：7 / 12
页数：5
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