… resource allocation in wireless communication networks,aiming to … ,this paper proposes a
machine learning based interference … 随着无线通信技 术的发展,如5G 和未来6G 网络,干扰管理和…

… 机器学习可分为3类:监督学习(supervised learning,SL),无监督学习(unsupervisedlearning, UL)…
至下一代蜂窝网络6G,而网 络性能与机器学习的集成是5G向6G转变的里程 碑.6G系统中将有望…

… Thus, it becomes a promising solution for analyzing and processing distributed data on
EDs in various machine learning tasks, which are the major workloads in MEC. Unfortunately, …

… of modern communication. Moreover, artificial intelligence technology,especially deep
learning,has been applied to the physical layer of wireless communication and has brought good …

… of 6G, integrated space-air-ground communication well compensates for the drawback of
insufficient current wireless communication … Deep reinforcement learning for multi-user access …

… intelligence)技术 能够更好地支撑6G 的智能化需求.其中,基于深 度神经网络(DNN, deep neural
network)的深度学 习(DL, deep learning)… IEEE Transactions on Wireless Communications, …

… and hardware cost in sixth-generation mobile networks (6G). However, in the asymmetric …
transfer learning in predicting DL parameters when the beamwidth or the communication …

… Based on deep reinforcement learning ( DRL),an efficient AP … Wireless powered IoE for
6G:massive access meets scalable … IEEE Transactions on Wireless Communications, 2019, 18 (…

… limitations of traditional wireless communication systems, it … of 5G-Adv and 6G by introducing
reconfigurable communication … communication system based on reinforcement learning[J]. …