Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming

TL;DR

This paper introduces a joint sensing and communication beamforming strategy for cell-free ISAC MIMO systems, optimizing performance and demonstrating significant gains over traditional methods.

Contribution

It develops a novel joint beamforming design based on max-min fairness, improving sensing and communication performance simultaneously.

Findings

JSC beamforming achieves near-optimal communication SINR.

Proposed method outperforms regularized zero-forcing beamforming.

Joint design balances sensing and communication objectives effectively.

Abstract

This paper considers a cell-free integrated sensing and communication (ISAC) MIMO system, where distributed MIMO access points (APs) jointly serve the communication users and sense the target. For this setup, we derive a sensing SNR for multi-static sensing where both joint communication and sensing signals transmitted by different APs are utilized. With this sensing objective, we develop two baseline approaches that separately design the sensing and communication beamforming vectors, namely communication-prioritized sensing beamforming and sensing-prioritized communication beamforming. Then, we consider the joint sensing and communication (JSC) beamforming design and derive the optimal structure of these beamforming vectors based on a max-min fairness formulation. In addition, considering any pre-determined JSC beam design, we devise a power allocation approach. The results show that the developed JSC beamforming is capable of achieving nearly the same communication signal-to-interference-plus-noise ratio (SINR) of the communication-prioritized sensing beamforming solution with almost the same sensing SNR of the sensing-prioritized communication beamforming approach. The proposed JSC beamforming optimization also provides a noticeable gain over the power allocation with regularized zero-forcing beamforming, yielding a promising strategy for cell-free ISAC MIMO systems.