基于 RIS 辅助的蜂窝网络 MIMO-NOMA 干扰缓解设计

IF 5.3 2区 计算机科学 Q1 TELECOMMUNICATIONS
Jie Li;Zhengyu Song;Tianwei Hou;Jiazi Gao;Anna Li;Zhiqing Tang
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引用次数: 0

摘要

近年来,可重构智能表面(RIS)因其在频谱效率(SE)和能效(EE)方面的显著进步而备受关注。为了进一步提高蜂窝网络的性能,我们提出了一种新颖的 RIS 辅助多输入多输出(MIMO)非正交多路存取(NOMA)架构。为了减轻小区间和集群间的干扰,我们引入了一种基于信号消除(SCB)的设计,专门为 RIS 量身定制。通过在合适的位置战略性地部署 RIS 并调整其元件的反射系数 (RC),我们实现了有效的干扰缓解。我们对 RIS 的无源波束成形进行了精心设计,并评估了实施 SCB 设计所需的 RIS 元件数量。为了深入了解系统性能,我们分析了中断概率和遍历率,为网络中用户的高信噪比斜率和分集命令提供了有价值的信息。数值结果显示1) 与零强迫和最大比率传输预编码矩阵相比,BS 的标识预编码矩阵具有更优越的性能;2) 为了最大化 SE 和 EE,存在最佳的 RIS 元素数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An RIS-Aided Interference Mitigation-Based Design for MIMO-NOMA in Cellular Networks
In recent years, the reconfigurable intelligent surface (RIS) has garnered considerable interest for its remarkable advancements in spectral efficiency (SE) and energy efficiency (EE). To further enhance the performance of cellular networks, we propose a novel RIS-aided multi-input multi-output (MIMO) non-orthogonal multiple access (NOMA) architecture. To mitigate both inter-cell and inter-cluster interferences, we introduce a signal-cancellation-based (SCB) design specifically tailored for the RISs. By strategically deploying the RIS in suitable locations and adjusting the reflection coefficient (RC) of its elements, we achieve effective interference mitigation. The passive beamforming at the RISs is meticulously designed, and we assess how many RIS elements are necessary to implement the SCB design. To gain insights into system performance, we analyze the outage probability and the ergodic rate, providing valuable information on the high signal-to-noise ratio slopes and diversity orders for the users in the network. The numerical results reveal: 1) in comparison to the zero-forcing and maximum-ratio-transmission precoding matrices, the identity precoding matrix at the BS offers superior performance; 2) an optimal number of RIS elements exists in order to maximize both SE and EE.
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来源期刊
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
6.20%
发文量
181
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