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作 者:刘丽萍 李玲 朱亚磊 LIU Liping;LI Ling;ZHU Yalei(Yunnan Radio Monitoring Center,Kunming 651500,China)
出 处:《通信电源技术》2024年第11期161-163,共3页Telecom Power Technology
摘 要:随着通信技术的快速发展,6G无线通信系统将面临更为严峻的频谱资源调配难题。文章通过深入研究6G无线通信系统的动态频谱管理技术,阐述动态频谱管理的基础理念,包括其种类、追求的目标、运作的原理以及优势。重点分析6G无线通信技术对无线电频谱资源的需求,包括提升频谱使用效率、在多元用户和多样化业务情境下的频谱分配与调度等。同时,深入探索针对无线电频谱的先进管理策略,如无线电频谱的感知与预测、借助机器学习和人工智能的智能管理技术以及面向6G通信技术的动态频谱分配技巧等。最后,剖析无线频道的共用与买卖规则,展望未来研究的趋势与方向。With the rapid development of communication technology,6G wireless communication system will face more severe spectrum resource allocation problems.By deeply studying the dynamic spectrum management technology of 6G wireless communication system,this paper expounds the basic concept of dynamic spectrum management,including its types,goals,operating principles and advantages.This paper focuses on the analysis of the demand of 6G wireless communication technology for radio spectrum resources,including improving spectrum efficiency,spectrum allocation and scheduling in multi-user and diversified business scenarios.At the same time,the advanced management strategies for radio spectrum,such as the perception and prediction of radio spectrum,intelligent management technology with the help of machine learning and artificial intelligence,and dynamic spectrum allocation skills for 6G communication technology,are deeply explored.Finally,the sharing and trading rules of wireless channels are analyzed,and the future research trends and directions are prospected.
关 键 词:6G无线通信系统 动态频谱管理 频谱感知 机器学习 频谱分配 频谱共享
分 类 号:TN929.5[电子电信—通信与信息系统]
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