A Novel Paradigm Shift for Next-Generation: Symbiotic Backscatter Rate-Splitting Multiple Access Systems

TL;DR

This paper introduces a new paradigm called symbiotic backscatter RSMA that combines spectrum-efficient rate-splitting multiple access with symbiotic communication to enhance IoT connectivity, reduce energy use, and improve system performance.

Contribution

The paper proposes a novel symbiotic backscatter RSMA paradigm, develops a detailed system operation and beamforming design, and introduces a new performance metric, symbiotic outage probability, for the first time.

Findings

The framework accurately predicts symbiotic outage probability.

The proposed gain-control strategies improve system performance.

Numerical results validate the effectiveness of the new paradigm.

Abstract

Next-generation wireless networks are projected to empower a broad range of Internet-of-things (IoT) applications and services with extreme data rates, posing new challenges in delivering large-scale connectivity at a low cost to current communication paradigms. Rate-splitting multiple access (RSMA) is one of the most spotlight nominees, conceived to address spectrum scarcity while reaching massive connectivity. Meanwhile, symbiotic communication is said to be an inexpensive way to realize future IoT on a large scale. To reach the goal of spectrum efficiency improvement and low energy consumption, we merge these advances by means of introducing a novel paradigm shift, called symbiotic backscatter RSMA, for the next generation. Specifically, we first establish the way to operate the symbiotic system to assist the readers in apprehending the proposed paradigm, then guide detailed design in beamforming weights with four potential gain-control (GC) strategies for enhancing symbiotic communication, and finally provide an information-theoretic framework using a new metric, called symbiotic outage probability (SOP) to characterize the proposed system performance. Through numerical result experiments, we show that the developed framework can accurately predict the actual SOP and the efficacy of the proposed GC strategies in improving the SOP performance.