Exploiting Self-Sustainable Information-Bearing RIS in Underlay CR-NOMA Networks
Zeyang Sun, Shuai Han, Chenyu Wu, Sai Xu, and Yuanwei Liu

TL;DR
This paper proposes a self-sustainable IB-RIS system in underlay CR-NOMA networks that enhances spectral efficiency by joint optimization of beamforming, reflection, and power-splitting, demonstrating significant gains over traditional schemes.
Contribution
It introduces a novel self-sustainable IB-RIS model for CR-NOMA networks with joint optimization framework and practical low-resolution implementation.
Findings
Significant WSSE improvements over OMA and active antenna schemes.
Efficient optimization framework using BCD, fractional programming, and difference-of-convex methods.
Low-resolution 2-bit phase SIB-RIS achieves near-optimal performance.
Abstract
Information-bearing reconfigurable intelligent surfaces (IB-RIS) provide a promising solution to self-sustainable and green communications by harvesting ambient radio frequency energy while embedding information via passive reflection. This paper investigates a self-sustainable IB-RIS (SIB-RIS)-assisted non-orthogonal multiple access (NOMA) network operating in an underlay cognitive radio (CR) system. Specifically, a multi-antenna primary transmitter (PT) serves a primary user (PU) and concurrently illuminates the secondary nodes, which enables each SIB-RIS to perform simultaneous energy harvesting and backscatter-based information embedding at each RIS. Based on this model, a weighted sum spectral efficiency (WSSE) maximization problem is formulated for the secondary network by jointly optimizing the PT transmit beamforming vector, the SIB-RIS reflection coefficients, and the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Technologies · Energy Harvesting in Wireless Networks · Underwater Vehicles and Communication Systems
