人工智能在6G空口物理层的潜在应用  

Research Progress of Potential Applications of AI in 6G Air Interface Physical Layer

作　　者：廖勇[1] 杨植景 李雪[1] LIAO Yong;YANG Zhijing;LI Xue(School of Microelectronics and Communication Engineering,Chongqing University,Chongqing 400044,China)

机构地区：[1]重庆大学微电子与通信工程学院,重庆400044

出　　处：《北京邮电大学学报》2022年第6期21-30,共10页Journal of Beijing University of Posts and Telecommunications

基　　金：重庆市自然科学基金项目(cstc2019jcyj-msxmX0017)。

摘　　要：为充分支持万物互联,第6代移动通信系统(6G)必须满足垂直行业严苛的物理层通信需求,而人工智能技术是提升物理层通信能力的有力手段。首先介绍了人工智能技术原生理论;然后归纳了人工智能技术在信道估计、信号检测、无源波束赋形和索引调制技术上的应用;最后梳理了未来人工智能技术潜在应用面临的技术挑战,探讨了该领域的研究趋势,展望了其在6G空口物理层中的应用前景。The sixth generation of mobile communications system(6 G) is expected to fully support the Internet of everything, which must meet the strict physical layer communication requirements of industries, and artificial intelligence(AI) is a powerful means to enhance physical layer communication capabilities. To focus on the development of AI in the 6 G air interface physical layer, we first introduce the AI native theory briefly, then summarize the specific applications of AI in channel estimation, signal detection, passive beamforming and index modulation. Finally, we point out the technical challenges of potential applications in the future and discuss the research trends of AI in the 6 G physical layer.

关 键 词：人工智能 第6代移动通信系统 无线通信 空口 物理层 

分 类 号：TN929.5[电子电信—通信与信息系统]