… The challenges faced by visible light communication are … , comparing with traditional wireless
communication. The … visible light communication and applications of machine learning in …

… wireless communication”) 近期非常火热, 也是实现未来6G 网络“… control: proposal, challenges,
and future perspective. IEEE … A survey of machine learning in wireless sensor netoworks …

… For a deeper, user-centered analysis, we crafted future … We propose a preliminary machine
learning algorithm with dual objectives… (RIS) for 6G wireless communication: Challenges and …

… looked into many challenges facing metaverse development. Metaverse enables the connection
and integration … RF sensing in the Internet of Things: a general deep learning framework …

… the development of big data and wireless communication,lots of research works are trying
to utilize machine learning ( ML) and big … We leave all these open issues in the future works. …

… mobile communication technology, the Sixth-Generation (6G… the diverse demands of
future communications. Therefore, … and machine learning. Key words: The 6th-generation …

… as the 5G era. Towards the 6G era, the network will support more application scenarios and
… 机器学习(machine learning,ML)和 深度学习(deep learning,DL)在空口,资源管理 和物理层等多…

… wireless communication systems, including the concepts, several key techniques of typical
PLA architectures as well as future challenges … lems of machine learning can also be used to …

… both traditional methods and deep neural network (DNN) ap … In summary, the need for 6G
wireless communications arises … , making wireless communication more challenging. NLOS …

… Finally, the future challenges and open issues of semantic … 通信系统DeepSC(deep learning
based semantic communication),首次在… a view on conveying meaning in the era of machine …