Max-Min Fairness-Oriented Beamforming Design in HAPS-Enabled ISAC for 6G Networks

TL;DR

This paper introduces a max-min fairness-based beamforming design for HAPS-enabled ISAC systems in 6G networks, optimizing resource allocation for equitable sensing and communication performance.

Contribution

It proposes a novel beamforming optimization framework that balances sensing and communication needs in HAPS-ISAC systems, addressing fairness and power constraints.

Findings

Effective resource allocation for fairness in HAPS-ISAC

Enhanced sensing accuracy and coverage

Validation through simulation results

Abstract

This paper presents a high-altitude platform station (HAPS)-enabled integrated sensing and communication (ISAC) system designed for sixth-generation (6G) networks. Positioned in the stratosphere, HAPS serves as a super-macro base station, leveraging advanced beamforming techniques to enable communication and sensing simultaneously. This research addresses the need for equitable service distribution in 6G networks by focusing on fairness within the HAPS-ISAC system. It tackles a non-convex optimization problem that balances sensing beampattern gain and signal-to-interference-plus-noise ratio (SINR) requirements among communication users (CUs) using a max-min fairness approach while adhering to power constraints. The proposed HAPS-ISAC framework ensures efficient resource allocation, reliable coverage, and improved sensing accuracy. Simulation results validate the potential of HAPS-ISAC as a pivotal enabler for 6G networks and integrated communication-sensing systems.