Optimal Beamforming Design for Multi-user MIMO Near-Field ISAC Systems with Movable Antennas

TL;DR

This paper develops algorithms for optimizing beamforming and antenna positions in near-field multi-user MIMO ISAC systems with movable antennas, demonstrating significant performance gains over fixed antenna setups.

Contribution

It introduces a novel joint optimization framework for beamforming and antenna positioning in near-field ISAC systems with movable antennas, addressing both communication and sensing requirements.

Findings

Movable antennas significantly improve near-field ISAC performance.

Linear precoding yields higher weighted sum rate for unequal user weights.

Zero-forcing precoding maintains consistent sum rate across user weights.

Abstract

Integrated sensing and communication (ISAC) has been recognized as one of the key technologies capable of simultaneously improving communication and sensing services in future wireless networks. Moreover, the introduction of recently developed movable antennas (MAs) has the potential to further increase the performance gains of ISAC systems. Although the gains of MA-enabled ISAC systems are relatively well studied in the far field, they remain almost unexplored in near-field scenarios. Motivated by this, in this paper we maximize the weighted sum rate (WSR) for communication users while maintaining a minimum sensing requirement in an MA-enabled near-field ISAC system. To achieve this goal, we propose algorithms that optimize the communication precoding matrices, the sensing transmit beamformer, the sensing receive combiner, the positions of the users' MAs and the positions of the base station (BS) transmit MAs in an alternating manner for the considered ISAC system, for the cases where linear procoding and zero-forcing (ZF) precoding are employed at the BS. Simulation results show that using MAs in near-field ISAC systems provides a substantial performance advantage compared to near-field ISAC systems equipped with fixed antennas only. We show that the scheme with linear precoding achieves larger WSR for unequal users' weight rates, while the scheme with ZF precoding maintains an approximately constant WSR for all users' weight rates. Additionally, we demonstrate that the WSRs of the proposed schemes are highly dependent on the inter-antenna interference between different user's MAs, and that the sensing performance is significantly more affected by the minimum sensing signal-to-interference-plus-noise ratio (SINR) threshold compared to the communication performance.