46 citations · 48 across the 3 of their papers we have counts for
6 papers
Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems
Shen Gao, Peihao Dong, Zhiwen Pan +1
This article aims to reduce huge pilot overhead when estimating the reconfigurable intelligent surface (RIS) relayed wireless channel. Motivated by the compelling grasp of deep lea…
Framework on Deep Learning Based Joint Hybrid Processing for mmWave Massive MIMO Systems
Peihao Dong, Hua Zhang, Geoffrey Ye Li
For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is essential to significantly reduce the complexity and cost but…
Spatially Correlated Massive MIMO Relay Systems with Low-Resolution ADCs
Peihao Dong, Hua Zhang, Qihui Wu +1
In this paper, we investigate the massive MIMO relay system, where the relay station (RS) forwards the signals from multiple remote users to the base station (BS). Large-scale ante…
Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks
Shen Gao, Peihao Dong, Zhiwen Pan +1
For ultra-dense networks with wireless backhaul, caching strategy at small base stations (SBSs), usually with limited storage, is critical to meet massive high data rate requests.…
Deep Learning based Channel Estimation for Massive MIMO with Mixed-Resolution ADCs
Shen Gao, Peihao Dong, Zhiwen Pan +1
In this article, deep learning is applied to estimate the uplink channels for mixed analog-to-digital converters (ADCs) massive multiple-input multiple-output (MIMO) systems, where…
Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems
Peihao Dong, Hua Zhang, Geoffrey Ye Li +2
For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is usually used to reduce the complexity and cost, which poses a…