Movable Antenna Enhanced Networked Integrated Sensing and Communication System

TL;DR

This paper proposes a movable antenna framework for networked integrated sensing and communication systems, enhancing coverage, adaptability, and performance in 6G networks through joint optimization of beamforming, power, and antenna positioning.

Contribution

It introduces a novel movable antenna architecture for networked ISAC systems and develops an efficient convex optimization-based solution for joint beamforming, power allocation, and antenna positioning.

Findings

Significant performance improvements demonstrated in simulations.

Effective optimization algorithm for complex channel models.

Enhanced coverage and adaptability in 6G network scenarios.

Abstract

Integrated sensing and communication (ISAC) is a key technology for future 6G networks. Most existing studies focus on monostatic and/or bistatic setups with limited coverage and capabilities. Networked ISAC systems with distributed base stations (BSs) can overcome these limitations. Moreover, movable antenna (MA) architectures offer improved ISAC performance over fixed-position antennas (FPAs) by enabling adaptable antenna movement. In this paper, we utilize the MA to promote communication capability with guaranteed sensing performance via jointly designing beamforming, power allocation, receiving filters and position configuration of transmit/receive MA towards maximizing the sum rate for both downlink (DL) and uplink (UL) users. The optimization problem is highly difficult due to the unique channel model derived from the position coefficient of the MA. To resolve this challenge, via leveraging the cutting-the-edge majorization-minimization (MM) method, we develop an efficient solution that optimizes all variables via convex optimization techniques. Extensive simulation results verify the effectiveness of our proposed algorithms and demonstrate the substantial performance promotion by deploying the MA framework in the networked ISAC system.