Fair Resource Allocation with Dynamic Multi-Layer Service Area Management in Local Networks Supporting Cybernetic Avatars

摘要

Cybernetic avatars (CAs) are set to revolutionize society by enhancing human physical and cognitive capabilities through advanced ICT and robotics, as part of Japan's Moonshot Goal 1 project. CAs enable individuals to overcome physical and spatial limitations, facilitating participation in remote and collaborative activities. This effort is part of building a reliabilityensuring platform using Local 5G networks that guarantees seamless CA teleoperation. However, when numerous CAs operate concurrently, limited wireless communication capacity can significantly degrade service quality and fairness in resource allocation. To address this challenge, we propose a dynamic multilayer service area adjustment method that enhances fairness by dynamically adjusting coverage area boundaries in real time. This method optimizes resource block (RB) allocation efficiency, significantly improving fairness as measured by Jain's Fairness Index under varying network loads. Comparative performance evaluations using system-level simulations against the traditional fixed coverage service area method demonstrate that the dynamic approach effectively balances system throughput and resource utilization, offering a robust and adaptive solution for emerging Local 5G network deployments.