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作 者:景毅 姜春晓[1] 詹亚锋[1] JING Yi;JIANG Chunxiao;ZHAN Yafeng(Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China)
机构地区:[1]清华大学北京信息科学与技术国家研究中心,北京100084
出 处:《无线电通信技术》2023年第1期12-20,共9页Radio Communications Technology
基 金:国家自然科学基金(61922050)。
摘 要:为了适应第六代移动通信(6G)技术在卫星通信领域的发展需求,亟需将感知、通信、计算(通感算)融合一体化,兼顾6G通信对于极低时延、极高带宽、极低功耗和极高算力的要求,发展通感算融合理论和关键技术。卫星通信凭借其覆盖面积大、成本低和算力强的特点,成为6G通感算融合的关键场景,其通过边缘计算、联邦学习等技术构建6G通感算融合网络,设计实现一体化终端功能结构,从而有效提升系统性能。目前面向卫星通信中的通感算融合研究还处于起步阶段,架构与关键技术的相关研究都在加速进行中。基于此,首先对6G通感算背景和研究现状进行介绍;然后提出面向卫星通信的6G通感算架构,概述其系统功能模块构成和关键技术;接着提出基于联邦学习的卫星通感算融合架构,并详细阐述架构组成和性能指标;最后探讨了面向卫星通信的6G通感算融合面临的挑战和未来的发展趋势。In order to adapt to the development requirement of the 6th generation mobile communication(6G) technology in satellite communication, there is an urgent need to integrate communication, sensing, computing and take into account the needs of 6G communication for extremely low delay, extremely high bandwidth, extremely low power consumption and extremely high computing power while developing the integration theory and key technologies. Because of the characteristics of wide coverage, low cost and strong computing power, satellite communication becomes one of the key scenes of 6G integration of communication, sensing and computing. With the help of mobile edge computing, federated learning and other technologies, satellite communication builds a 6G integrated network, designs and implements an associative terminal functional structure in order to effectively enhance the system’s performance. At present, the integration of communication, sensing and computing for satellite communication is still at the initial stage with the architectures and key technologies being researched at a high speed. In this article, we first introduce the background and research status of 6G communication, sensing and computing integration. Then, based on the architecture of 6G communication, sensing and computing integration for satellite communication, we summarize the system functional modules and key technologies. After that, we propose an architecture of 6G communication, sensing and computing integration for satellite communication with federated learning and introduce the compositions of the architecture and the performance indicators. Finally, the challenges and future trends of 6G communication, sensing and computing integration for satellite communication are discussed.
分 类 号:TN919.23[电子电信—通信与信息系统]
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