… in new scenarios and the limitations of UAVs, such as … mathematical methods and machine
learning methods are … layer security of UAVs based on 5G/B5G has been discussed. Finally, …

… 人工智能(artificial intelligence, AI) 与5G 的融合是未来5G/B5G 的… strategies with reinforcement
learning. In: Proceedings of … Federated learning for wireless communications: motivation, …

… The vehicle-to-everything (V2X) network has the potential to revolutionize the way we …
offers significant advantages over OFDM-enabled ISAC in V2X characterized by high mobility, it …

… problems caused by the inherent defects of wireless networks, which has the ability to resist
unknown security threats and integrate communication… include wireless communications and …

… beyond 5G (B5G) wireless communication networks to improve the … In order to limit the
complexity of the receiver and restrict the error … optimization, and applications of machine learning. …

… Additionally, the potential counterfeit base station attacks in the existing 5G authentication
… of smart airport network data, and encounter problems such as tampering and deception by …

… Dynamic service placement for virtual reality group gaming on mobile edge cloudlets[J].
IEEE Journal on Selected Areas in Communications, 2019, 37(8): 1881-1897. DOI: 10.1109/…

: 为了构建绿色且长生命周期的物联网, 本文提出了一种雾辅助的公平节能物联网计算迁移方案.
首先, 基于雾节点计算能力, 带宽资源以及融合雾节点能耗公平性的迁移决策的联合考量, 构建了…

… of building the six generation(6G) communication system. Compared to radio frequency(RF)
technology, wireless optical communication has the advantages of large capacity, high data …

… Machine learning for 5G/B5G mobile and wireless communications: potential, limitations,
and future directions [J]. IEEE Access, 2019, 7(99): 137184-137206. [2] Zhao JH, Ni SJ, Yang L, …