Reconfigurable Intelligent Surface Aided NOMA Networks
Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, and Lajos, HanzoE

TL;DR
This paper investigates how reconfigurable intelligent surfaces (RISs) can enhance NOMA wireless networks by improving spectrum and energy efficiency, providing analytical performance bounds and demonstrating superior performance over orthogonal schemes.
Contribution
It introduces a RIS-assisted NOMA system, derives analytical expressions for outage probability and ergodic rate, and analyzes diversity and high-SNR behavior, highlighting performance improvements.
Findings
RISs improve spectrum and energy efficiency in NOMA networks.
The high-SNR slope of the RIS-aided network is one.
RIS-aided NOMA outperforms orthogonal schemes in network performance.
Abstract
Reconfigurable intelligent surfaces (RISs) constitute a promising performance enhancement for next-generation (NG) wireless networks in terms of enhancing both their spectrum efficiency (SE) and energy efficiency (EE). We conceive a system for serving paired power-domain non-orthogonal multiple access (NOMA) users by designing the passive beamforming weights at the RISs. In an effort to evaluate the network performance, we first derive the best-case and worst-case of new channel statistics for characterizing the effective channel gains. Then, we derive the best-case and worst-case of our closed-form expressions derived both for the outage probability and for the ergodic rate of the prioritized user. For gleaning further insights, we investigate both the diversity orders of the outage probability and the high-signal-to-noise (SNR) slopes of the ergodic rate. We also derive both the SE…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Indoor and Outdoor Localization Technologies · Optical Wireless Communication Technologies
