7 citations · 18 across the 7 of their papers we have counts for
12 papers
Optimization-driven Machine Learning for Intelligent Reflecting Surfaces Assisted Wireless Networks
Shimin Gong, Jiaye Lin, Jinbei Zhang +3
Intelligent reflecting surface (IRS) has been recently employed to reshape the wireless channels by controlling individual scattering elements' phase shifts, namely, passive beamfo…
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…
Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN
Bin Lyu, Parisa Ramezani, Dinh Thai Hoang +3
This paper proposes a hybrid-relaying scheme empowered by a self-sustainable intelligent reflecting surface (IRS) in a wireless powered communication network (WPCN), to simultaneou…
Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing
Shimin Gong, Yutong Xie, Jing Xu +2
Wireless network optimization has been becoming very challenging as the problem size and complexity increase tremendously, due to close couplings among network entities with hetero…