Beamforming in Secure Integrated Sensing and Communication Systems with Antenna Allocation

TL;DR

This paper proposes a joint antenna allocation and beamforming approach in secure integrated sensing and communication systems, enhancing security and sensing accuracy through optimized signal design and power control.

Contribution

It introduces a novel joint optimization framework for antenna allocation and beamforming in secure ISAC systems, with specialized sensing signals to prevent eavesdropping.

Findings

Antenna allocation improves security performance.

Optimized beamforming enhances sensing accuracy.

Proposed solvers effectively handle non-convex optimization.

Abstract

In this paper, we consider joint antenna allocation and transmit beamforming design in secure integrated sensing and communication (ISAC) systems. A dual-function base station (DFBS) aims to securely deliver messages to a single-antenna receiver while detecting potential eavesdroppers. To prevent eavesdropping, we incorporate specialized sensing signals, intentionally reducing communication signal power toward suspicious targets to improve sensing. We prioritize minimizing the matching error between the transmitting and required beampatterns for sensing and communication. Our design optimizes antenna allocation and beamforming at the DFBS, meeting minimum secrecy rate and power constraints. We propose solvers based on alternating optimization for the non-convex design problem. Simulations show that the antenna allocation scheme significantly improves safety performance.