Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications
Chengcheng Xu, Bruno Clerckx, Shiwa Chen, Yijie Mao, Jianyun Zhang

TL;DR
This paper introduces a unified multi-antenna DFRC framework using Rate-Splitting Multiple Access (RSMA) that improves the tradeoff between communication rate and radar beampattern accuracy, outperforming traditional methods.
Contribution
It proposes a novel RSMA-based DFRC system that simplifies architecture and enhances performance by exploiting common streams for interference management and radar beampattern matching.
Findings
RSMA-assisted DFRC outperforms SDMA-assisted DFRC in tradeoff metrics.
RSMA with and without radar sequence achieves similar performance.
The common stream in RSMA effectively manages interference and beampattern approximation.
Abstract
Dual-Functional Radar-Communication (DFRC) system is an essential and promising technique for beyond 5G. In this work, we propose a powerful and unified multi-antenna DFRC transmission framework, where an additional radar sequence is transmitted apart from communication streams to enhance radar beampattern matching capability, and Rate-Splitting Multiple Access (RSMA) is adopted to better manage the interference. RSMA relies on multi-antenna Rate-Splitting (RS) with Successive Interference Cancellation (SIC) receivers, and the split and encoding of messages into common and private streams. We design the message split and the precoders of the radar sequence and communication streams to jointly maximize the Weighted Sum Rate (WSR) and minimize the radar beampattern approximation Mean Square Error (MSE) subject to the per antenna power constraint. An iterative algorithm based on…
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.
