Optimization of Rate-Splitting Multiple Access with Integrated Sensing and Backscatter Communication
Diluka Galappaththige, Shayan Zargari, Chintha Tellambura, Geoffrey Ye, Li

TL;DR
This paper proposes an optimized rate-splitting multiple access scheme for integrated sensing and backscatter communication systems, significantly improving communication rates while maintaining low power increases.
Contribution
It introduces a novel RSMA-based optimization framework for ISABC systems, jointly optimizing beamforming, reflection, and rate allocation for enhanced efficiency.
Findings
Achieves 350% increase in communication rate over NOMA-based ISABC.
Maintains only 24% increase in transmit power with ten antennas.
Provides concrete solutions for beamforming and reflection coefficient optimization.
Abstract
An integrated sensing and backscatter communication (ISABC) system is introduced herein. This system features a full-duplex (FD) base station (BS) that seamlessly merges sensing with backscatter communication and supports multiple users. Multiple access (MA) for the user is provided by employing rate-splitting multiple access (RSMA). RSMA, unlike other classical orthogonal and non-orthogonal MA schemes, splits messages into common and private streams. With RSMA, the set of common rate forms can be optimized to reduce interference. Optimized formulas are thus derived for communication rates for users, tags, and the BS's sensing rate, with the primary goal of enhancing the transmission efficiency of the BS. The optimization task involves minimizing the BS's overall transmission power by jointly optimizing the BS's beamforming vectors, the tag reflection coefficients, and user common…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Indoor and Outdoor Localization Technologies · Cognitive Radio Networks and Spectrum Sensing
MethodsSparse Evolutionary Training · Balanced Selection
