SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication
Vaibhav Kumar, Marwa Chafii, A. Lee Swindlehurst, Le-Nam Tran, and, Mark F. Flanagan

TL;DR
This paper introduces a novel SCA-based optimization method for IRS-enabled secure integrated sensing and communication, improving beamforming design efficiency and security in 6G systems.
Contribution
It proposes a new SCA-based SOCP scheme for joint transmit and reflective beamforming, outperforming existing penalty-based methods in efficiency and convergence guarantees.
Findings
The proposed method achieves higher beampattern gain at the target.
It converges faster and more reliably than existing AO-based approaches.
Complexity analysis shows lower average solving time despite higher per-iteration complexity.
Abstract
Integrated sensing and communication (ISAC) is expected to be offered as a fundamental service in the upcoming sixth-generation (6G) communications standard. However, due to the exposure of information-bearing signals to the sensing targets, ISAC poses unique security challenges. In recent years, intelligent reflecting surfaces (IRSs) have emerged as a novel hardware technology capable of enhancing the physical layer security of wireless communication systems. Therefore, in this paper, we consider the problem of transmit and reflective beamforming design in a secure IRS-enabled ISAC system to maximize the beampattern gain at the target. The formulated non-convex optimization problem is challenging to solve due to the intricate coupling between the design variables. Moreover, alternating optimization (AO) based methods are inefficient in finding a solution in such scenarios, and…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Antenna and Metasurface Technologies · Antenna Design and Optimization
Methodstravel james
