Temporal-Assisted Dynamic Beampattern Optimization in Integrated Sensing and Communication Systems

TL;DR

This paper proposes a novel beamforming strategy for integrated sensing and communication systems that leverages temporal data to improve communication rates, using advanced optimization techniques validated through numerical analysis.

Contribution

It introduces a new design criterion utilizing previous sensing data for real-time beamforming, and develops an efficient suboptimal solution with SCA and IRM methods.

Findings

Enhanced communication rate over traditional methods

Effective beamforming solution using SCA and IRM

Numerical results validate improved performance

Abstract

In this paper, an integrated sensing and communication (ISAC) system is investigated. Initially, we introduce a design criterion wherein sensing data acquired from the preceding time slot is employed for instantaneous optimal beamforming in the succeeding time slot, aiming to enhance the communication rate. Subsequently, the development of optimal beamforming is addressed, and a high-caliber suboptimal resolution is derived utilizing successive convex approximation (SCA) techniques combined with the iterative rank minimization (IRM) methodology. Our evaluations, grounded on numerical analyses, reveal that the communication rate of the introduced beamforming strategy surpasses that of conventional omnidirectional sensing and pilot based approaches.