Hybrid Beamforming Design for RSMA-enabled Near-Field Integrated Sensing and Communications
Jiasi Zhou, Chintha Tellambura, and Geoffrey Ye Li

TL;DR
This paper proposes a hybrid beamforming scheme for near-field integrated sensing and communication using RSMA, optimizing spatial degrees of freedom for improved multi-target sensing and communication performance with fewer RF chains.
Contribution
It introduces a novel RSMA-based hybrid beamforming method for NF-ISAC, including a rank-zero sensing beam solution and a PDD-based optimization algorithm.
Findings
Achieves near-digital performance with fewer RF chains.
Maintains multi-target sensing without reducing communication rates.
Outperforms conventional schemes and far-field ISAC systems.
Abstract
Integrated sensing and communication (ISAC) networks leverage extremely large antenna arrays and high frequencies. This inevitably extends the Rayleigh distance, making near-field (NF) spherical wave propagation dominant. This unlocks numerous spatial degrees of freedom, raising the challenge of optimizing them for communication and sensing tradeoffs. To this end, we propose a rate-splitting multiple access (RSMA)-based NF-ISAC transmit scheme utilizing hybrid analog-digital antennas. RSMA enhances interference management, while a variable number of dedicated sensing beams adds beamforming flexibility. The objective is to maximize the minimum communication rate while ensuring multi-target sensing performance by jointly optimizing receive filters, analog and digital beamformers, common rate allocation, and the sensing beam count. To address uncertainty in sensing beam allocation, a…
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Taxonomy
TopicsAntenna Design and Optimization · Antenna Design and Analysis · Advanced MIMO Systems Optimization
