面向6G的信道状态信息压缩技术
Channel State Information Compression Technology for 6G
鲁照华 1胡留军 1李伦 1李永1
作者信息
- 1. 中兴通讯股份有限公司,中国 深圳 518057;移动网络和移动多媒体技术全国重点实验室,中国 深圳 518055
- 折叠
摘要
提出基于人工智能的信道状态信息压缩技术方案,并全面思考了模型训练、模型管理中的标准制定、实际应用等相关问题,分析了不同问题的潜在解决方案.仿真结果表明,所提出的方案可有效提升信道状态信息反馈精度,网络容量平均提升10%左右.
Abstract
A channel state information compression technology scheme leveraging artificial intelligence is proposed.Standard formulation,practical application,and other related problems and solutions have been comprehensively analyzed and considered.The simulation results show that the proposed scheme can effectively improve the accuracy of channel state information feedback,resulting in an average in-crease of approximately 10%in network capacity.
关键词
人工智能/多输入多输出/信道状态信息Key words
artificial intelligence/multiple-input multiple-output/channel state information引用本文复制引用
出版年
2024
NETL
NSTL
万方数据