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    6G卫星物联网随机多址接入技术发展与展望

    Random Multiple Access Technologies for 6G Satellite Internet of Things: Development and Prospects

    • 摘要: 卫星物联网作为第6代移动通信(6G)网络架构的核心演进方向,正通过星地协同组网技术构建全球无缝覆盖的物联网泛在连接体系与综合服务能力. 多址接入技术作为支撑卫星物联网大规模用户动态接入的关键技术,其核心目标在于通过无线资源的智能化分配机制,实现海量用户终端按需、有序、可靠的并发接入服务. 梳理了基于ALOHA协议的多址接入技术演进脉络,从数据发送的时间约束维度出发,将现有接入技术划分为时隙随机多址接入与非时隙随机多址接入2大技术谱系,并对其技术特征进行分类解析,深入剖析了各技术方案的物理层实现原理与协议特性. 针对融合创新方向,总结了新型混合随机多址接入技术的设计范式与研究成果,从协议体制、频谱感知、业务建模等维度梳理了前沿研究进展. 最后,从按需接入控制、极简随机多址接入、多接入边缘计算(multi-access edge computing,MEC)融合的随机多址接入、数据-模型联合驱动模型与场景验证等方面指出了未来研究的技术方向和发展趋势.

       

      Abstract: Satellite Internet of Things (SatIoT), positioned as the core evolutionary direction in sixth-generation (6G) mobile network architectures, is establishing a globally seamless ubiquitous IoT connectivity framework with integrated service capabilities through space-terrestrial collaborative networking technologies. Multiple access technology, as a key technology supporting dynamic access for large-scale users in SatIoT, primarily aims to achieve on-demand, orderly, and reliable concurrent access services for massive user terminals through intelligent allocation mechanisms of wireless resources. This paper reviews the evolutionary trajectory of ALOHA-based multiple access technologies, categorizes existing access technologies into two major technical lineages—slotted random multiple access and unslotted random multiple access—from the perspective of time constraints on data transmission, and conducts a classified analysis of their technical characteristics, delving deeply into the physical layer implementation principles and protocol properties of various technical approaches. Regarding the direction of convergent innovation, it summarizes the design paradigms and research achievements of novel hybrid random multiple access technologies, and collates cutting-edge research progress from dimensions such as protocol architectures, spectrum sensing, and service modeling. Finally, it identifies future technological directions and development trends in areas including on-demand access control, simplified random multi-access, multi-access edge computing (MEC)-enabled random multi-access, and data-model co-driven model and scenario verification.

       

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