most citedBeam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach

65 citations · 65 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IT2022★ 65 cited

Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach

Qing Xue, Yi-Jing Liu, Yao Sun +4

Deploying ultra-dense networks that operate on millimeter wave (mmWave) band is a promising way to address the tremendous growth on mobile data traffic. However, one key challenge…

cs.NI2022

Resource Consumption for Supporting Federated Learning in Wireless Networks

Yi-Jing Liu, Shuang Qin, Yao Sun +1

Federated learning (FL) has recently become one of the hottest focuses in wireless edge networks with the ever-increasing computing capability of user equipment (UE). In FL, UEs tr…