6 citations · 14 across the 5 of their papers we have counts for
6 papers
Optimization-driven Hierarchical Learning Framework for Wireless Powered Backscatter-aided Relay Communications
Shimin Gong, Yuze Zou, Jing Xu +3
In this paper, we employ multiple wireless-powered relays to assist information transmission from a multi-antenna access point to a single-antenna receiver. The wireless relays can…
Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications
Jiaye Lin, Yuze Zou, Xiaoru Dong +3
Intelligent reflecting surface (IRS) is a promising technology to assist downlink information transmissions from a multi-antenna access point (AP) to a receiver. In this paper, we…
Robust Beamforming for IRS-assisted Wireless Communications under Channel Uncertainty
Yongchang Deng, Yuze Zou, Shimin Gong +3
In this paper, we consider IRS-assisted transmissions from a multi-antenna access point (AP) to a receiver with uncertain channel information. By adjusting the magnitude of reflect…
Capitalizing Backscatter-Aided Hybrid Relay Communications with Wireless Energy Harvesting
Shimin Gong, Yuze Zou, Dinh Thai Hoang +3
In this work, we employ multiple energy harvesting relays to assist information transmission from a multi-antenna hybrid access point (HAP) to a receiver. All the relays are wirele…
Reliable Federated Learning for Mobile Networks
Jiawen Kang, Zehui Xiong, Dusit Niyato +3
Federated learning, as a promising machine learning approach, has emerged to leverage a distributed personalized dataset from a number of nodes, e.g., mobile devices, to improve pe…
Robust Transmissions in Wireless Powered Multi-Relay Networks with Chance Interference Constraints
Jing Xu, Yuze Zou, Shimin Gong +3
In this paper, we consider a wireless powered multi-relay network in which a multi-antenna hybrid access point underlaying a cellular system transmits information to distant receiv…