Ning Hui , Qian Sun , Lin Tian , Yuanyuan Wang , Yiqing Zhou
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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. 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引用次数: 0
摘要
在第6代移动网络(6G)中,空间综合地面(SIG)无线接入网(RAN)承诺为各种业务提供无缝覆盖和极高的服务质量(QoS)。然而,实现这一目标需要有效地管理计算和适合各种服务需求的无线资源。计算资源的异构性和共享无线资源之间的干扰给协调和管理带来了重大挑战。为了解决这些问题,本文概述了6G SIG RAN中的多维资源管理,包括计算和无线资源。首先对计算和无线资源管理的研究现状进行了综述,并分析了存在的不足和挑战。然后针对所面临的挑战,提出了一种基于mec的计算资源管理方案和一种基于混合命理学的无线资源管理方案。此外,它概述了有前途的未来技术,包括联合模型驱动和数据驱动的资源管理技术,以及6G SIG网络中基于区块链的资源管理技术。这项工作还强调了仍然存在的挑战,例如降低与不稳定的地对星链路相关的通信成本,以及克服频谱隔离带来的障碍。总体而言,这一综合方法旨在为未来6G网络中高效和有效的资源管理铺平道路。
Computation and wireless resource management in 6G space-integrated-ground access networks
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.
期刊介绍:
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