Medium Access for Multi-Cell ISAC through Scheduling of Radar and Communication Tasks
João Henrique Inacio de Souza, Fabio Saggese, Kun Chen-Hu, Petar Popovski
TL;DR
This work tackles the problem of coordinating communication and radar tasks in multi-cell ISAC networks under QoS requirements. It introduces a frame-based, time-multiplexed framework that jointly optimizes radar scan patterns and data throughput using an interference-aware beamforming/assignment strategy, demonstrated to meet target detection and tracking with high reliability while reducing resource usage. The main contributions are (i) a three-step scheduling algorithm prioritizing tracking, then communication, then search; (ii) an assignment-problem formulation for tracking and search beamformer selection, solvable by the Hungarian algorithm; and (iii) a numerical demonstration showing superior performance over baselines in terms of detection reliability, tracking efficiency, and overall resource utilization. The approach offers a practical pathway to scalable, coordinated ISAC deployments in dense multi-cell networks, with clear implications for efficient spectrum sharing and coordinated sensing and communication operations.
Abstract
This paper focuses on communication, radar search, and tracking task scheduling in multi-cell integrated sensing and communication (ISAC) networks under quality of service (QoS) constraints. We propose a medium access control framework multiplexing the tasks while optimizing radar scan patterns through an interference-aware assignment formulation. Simulations show that our solution guarantees target QoS with improved resource efficiency over baseline schemes, highlighting the benefits of coordinated scheduling in multi-cell ISAC.
