Computation and wireless resource management in 6G space-integrated-ground access networks

Abstract

In 6th Generation Mobile Networks (6G), the Space-Integrated-Ground (SIG) Radio Access Network (RAN) promises seamless coverage and exceptionally high Quality of Service (QoS) for diverse services. However, achieving this necessitates effective management of computation and wireless resources tailored to the requirements of various services. The heterogeneity of computation resources and interference among shared wireless resources pose significant coordination and management challenges. To solve these problems, this work provides an overview of multi-dimensional resource management in 6G SIG RAN, including computation and wireless resource. Firstly it provides with a review of current investigations on computation and wireless resource management and an analysis of existing deficiencies and challenges. Then focusing on the provided challenges, the work proposes an MEC-based computation resource management scheme and a mixed numerology-based wireless resource management scheme. Furthermore, it outlines promising future technologies, including joint model-driven and data-driven resource management technology, and blockchain-based resource management technology within the 6G SIG network. The work also highlights remaining challenges, such as reducing communication costs associated with unstable ground-to-satellite links and overcoming barriers posed by spectrum isolation. Overall, this comprehensive approach aims to pave the way for efficient and effective resource management in future 6G networks.