activity
20192022
most citedDeep Learning Based Pilot Design for Multi-user Distributed Massive MIMO Systems

61 citations · 70 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT20211 cited

Privacy-preserving Channel Estimation in Cell-free Hybrid Massive MIMO Systems

Jun Xu, Xiaodong Wang, Pengcheng Zhu +1

We consider a cell-free hybrid massive multiple-input multiple-output (MIMO) system with users and access points (APs), each with antennas and radio freque…

cs.IT2019

Joint Sparse Beamforming and Power Control for Large-scale DAS with Network-Assisted Full Duplex

Xinjiang Xia, Pengcheng Zhu, Jiamin Li +3

In this paper, we studied the joint sparse beamforming and power control for network-assisted full duplex (NAFD) in large-scale distributed antenna system (L-DAS), where the remote…

eess.SP2019

Power Minimization for Wireless Backhaul Based Ultra-Dense Cache-enabled C-RAN

Jun Xu, Pengcheng Zhu, Jiamin Li +1

This correspondence paper investigates joint design of small base station (SBS) clustering, multicast beamforming for access and backhaul links, as well as frequency allocation in…

cs.IT20198 cited

Performance of Network-Assisted Full-Duplex for Cell-Free Massive MIMO

Dongming Wang, Menghan Wang, Pengcheng Zhu +3

Network assisted full-duplex (NAFD) is a spatial-division duplex technique for future wireless networks with cell-free massive multiple-input multiple-output (CF massive MIMO) netw…

eess.SP201961 cited

Deep Learning Based Pilot Design for Multi-user Distributed Massive MIMO Systems

Jun Xu, Pengcheng Zhu, Jiamin Li +1

This letter proposes a deep learning based pilot design scheme to minimize the sum mean square error (MSE) of channel estimation for multi-user distributed massive multiple-input m…