… Abstract: The future Sixth-Generation (6G) wireless communication … start of this paper, covering
its current status, development process, … Finally, the challenges and future trends faced by …

… Deep learning, particularly DNN, has emerged as a … AAE’s powerful learning capabilities,
empowers the model to generate … of wireless networks, especially in challenging environments …

… and localization can be empowered by the information in… Deep learning has been widely
recognized as the current … with densified and heterogeneous wireless networks, in which …

… plane and the deep reinforcement learning model are deployed … When the network changes
to a new environment, GAN … To address these challenges and offer insights for 6G research, …

… -generation mobile communication (6G) networks will face more complex endogenous
security problems, and it is urgent to propose new universal security theories and establish new …

… :6G 技术尚处于研究的起步阶段,预计在未来几年,全球将就6G 的… 围绕应用范畴的再扩展与技术
性能的再提升问题,首先对未来6G … 本文未涉及其他较重要的6G 技 术研发方向,包括6G 网络构架…

… networks, which can resist unknown security … issues and concepts of 6G wireless networks;
proposes the application vision of endogenous security in typical scenarios, such as 6G ultra-…

… research problems of the access architecture in the current air-to-ground integrated network,
… Advanced mathematical modeling of machine learning and artificial intelligent addressing …

… ,深度强化 学习(Deep Reinforcement Learning,DRL)的方案得 … Smart radio environments
empowered by reconfigurable intelli… Intelligent reflecting surface enhanced wireless network via …