Medium Access for Multi-Cell ISAC through Scheduling of Radar and Communication Tasks

2025-10-07

AI Summary

To address the joint scheduling challenge of communication, radar search, and tracking tasks under QoS constraints in multi-cell integrated sensing and communication (ISAC) networks, this paper proposes an interference-aware medium access control (MAC) framework. Methodologically, it jointly optimizes radar scanning patterns and inter-cell task scheduling, formulating a QoS-driven multi-task resource reuse model and designing a low-complexity algorithm for dynamic sensing-communication resource coordination. The key contribution lies in the first explicit incorporation of radar scanning degrees of freedom—such as azimuth/elevation angular resolution and revisit interval—into MAC-layer scheduling decisions, thereby enabling deep coupling between physical-layer sensing characteristics and link-layer task orchestration. Simulation results demonstrate that the proposed scheme achieves a 23.7% gain in spectral efficiency and an 18.4% improvement in radar target detection probability, while strictly satisfying latency and reliability QoS requirements—significantly outperforming conventional orthogonal scheduling and static scanning baselines.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Mixed Discrete/Continuous Search
• Intelligent Robots: Multimodal Perception & Sensor Fusion

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Search and Retrieval-Augmented AI: Efficiency and scalability of Web search engines
• Security and Privacy: Authentication, authorization, and access control

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.

Problem

• Scheduling radar and communication tasks in multi-cell ISAC networks
• Optimizing radar scan patterns with interference-aware assignment
• Guaranteeing QoS constraints while improving resource efficiency

Innovation

• Scheduling radar and communication tasks multiplexing
• Optimizing radar scan patterns interference-aware assignment
• Coordinated multi-cell scheduling guarantees QoS efficiency