Multi-Layer Resource Management Strategies for Cybernetic Avatars in Dynamic Local 5G Environments

Abstract

Cybernetic Avatars (CAs) are envisioned to revolutionize society by extending human physical and cognitive capabilities through advanced ICT and robotics, as part of Japan’s Moonshot Goal 1 project. CAs are technologies that extend human physical and cognitive capabilities, enabling remote activities and offering a new means for anyone to participate in social activities. However, when a large number of CAs operate simultaneously, service quality is impaired due to limited wireless communication capacity. To address this issue, this study proposes a wireless resource management scheme in a dynamic Local 5G network environment. This scheme manages the available service areas for each CA service in a multi-layer structure and adaptively downgrades the service levels of some CAs when communication demands exceed the available capacity. This approach ensures that, in scenarios where communication resources are strained due to a high number of CAs, service levels can be effectively adjusted based on the CAs’ situations and operations, maintaining the overall service quality at a higher level. Simulations demonstrate that the proposed scheme significantly improves the proportion of CAs meeting the desired quality of service compared to the conventional Proportional Fair Scheduling (PFS)-based resource management scheme. These results indicate that even under limited resource conditions, it is possible to maintain high service quality.