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作 者:陶泽鑫 TAO Zexing(Zhongzhi Technology Services(Chengdu)Co.,Ltd.,Chengdu 610200,China)
机构地区:[1]中智科技服务(成都)有限公司,成都610200
出 处:《计算机应用文摘》2025年第7期184-187,共4页
摘 要:在6G网络的浪潮中,IMS(IP多媒体子系统)这一核心通信架构正迎来前所未有的机遇与挑战。6G网络的高速率、低延迟和广覆盖特性为IMS系统的互联互通提供了全新的技术基础,但传统IMS系统在波束成形、通信感知一体化与资源管理等方面已难以满足6G网络的需求。在此情况下,基于RIS(可重构智能表面)的波束成形算法、通信感知一体化的信号设计以及AI辅助的IMS系统优化技术应运而生。这些创新技术不仅能够显著提升IMS系统的性能,还能推动6G网络在感知、通信与资源管理领域的深度融合,为未来的智能通信奠定坚实基础。In the wave of 6G networks,the core communication architecture of IMS(IP Multimedia Subsystem)is facing unprecedented opportunities and challenges.The high-speed,low latency,and wide coverage characteristics of 6G networks provide a new technological foundation for the interconnection of IMS systems.However,traditional IMS systems are no longer able to meet the needs of 6G networks in areas such as beamforming,communication perception integration,and resource management.In this situation,beamforming algorithms based on RIS(Reconfigurable Intelligent Surface),signal design integrating communication and perception,and AI assisted IMS system optimization technology have emerged.These innovative technologies can not only significantly improve the performance of IMS systems,but also promote the deep integration of 6G networks in the fields of perception,communication,and resource management,laying a solid foundation for future intelligent communication.
分 类 号:TN929[电子电信—通信与信息系统]
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