Multi-Static ISAC Assisted by Double-Side Fluid Antenna System

TL;DR

This paper proposes a novel multi-static ISAC system integrated with a double-side fluid antenna system, optimizing FA positions and beamforming to enhance target detection and communication performance in 6G networks.

Contribution

It introduces a joint optimization framework for FA placement and beamforming using penalty mechanisms and alternating optimization, improving robustness and efficiency.

Findings

Achieves higher target detection probability with joint FA and beamforming optimization.

Demonstrates superior performance of DS-FAS-assisted ISAC in various scenarios.

Provides practical insights for deploying multi-static ISAC with fluid antennas.

Abstract

As a pivotal usage scenario for 6G networks, integrated sensing and communication (ISAC) has emerged as a focal point of both academic and industrial research. To accommodate the heterogeneous connectivity requirements of future networks while jointly enhancing both the sensing and communication performance, this paper integrates the multi-static ISAC architecture with double-side fluid antenna system (DS-FAS) to fully exploit the available spatial degrees-of-freedom. Specifically, we establish a joint optimization framework for FA positions and transmit beamforming to maximize the target detection probability while satisfying the communication quality-of-service requirements. Recognizing the intricate coupling between the double-side FA positions and transmit beamforming, instead of trying to obtain an initial feasible point, we resort to the penalty-based mechanism to ensure the robustness against initial feasibility without introducing additional non-convexity. An alternating optimization-based algorithm is proposed to solve the decoupled subproblems. Specifically, the transmit beamforming is globally optimized via the semidefinite relaxation technique, while the transmit FA positions are determined using the majorization-minimization method. Finally, leveraging the analyzed FA mechanism, the feasibility subproblem for receive FA positions is transformed into a signal-to-interference-plus-noise ratio maximization one, solved efficiently via a gradient ascent-based approach, which yields superior performance over the feasibility-based benchmark with reduced complexity. Numerical results demonstrate the superiority of the considered DS-FAS-assisted multi-static ISAC systems in both noise-limited and interference-limited scenarios, while key insights for practical deployment are further extracted from the simulation analysis.