895 citations · 5.3k across the 104 of their papers we have counts for
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Learning to Beamform in Heterogeneous Massive MIMO Networks
Minghe Zhu, Tsung-Hui Chang, Mingyi Hong
It is well-known that the problem of finding the optimal beamformers in massive multiple-input multiple-output (MIMO) networks is challenging because of its non-convexity, and conv…
Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection
Mohamed S. Ibrahim, Aritra Konar, Mingyi Hong +1
This paper considers the (NP-)hard problem of joint multicast beamforming and antenna selection. Prior work has focused on using Semi-Definite relaxation (SDR) techniques in an att…
Spectral Efficiency Optimization For Millimeter Wave Multi-User MIMO Systems
Qingjiang Shi, Mingyi Hong
As a key enabling technology for 5G wireless, millimeter wave (mmWave) communication motivates the utilization of large-scale antenna arrays for achieving highly directional beamfo…
Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization
Qingjiang Shi, Mingyi Hong, Xiao Fu +1
Many contemporary signal processing, machine learning and wireless communication applications can be formulated as nonconvex nonsmooth optimization problems. Often there is a lack…
Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management
Haoran Sun, Xiangyi Chen, Qingjiang Shi +3
For the past couple of decades, numerical optimization has played a central role in addressing wireless resource management problems such as power control and beamformer design. Ho…
Joint Source-Relay Design for Full--Duplex MIMO AF Relay Systems
Qingjiang Shi, Mingyi Hong, Xiqi Gao +3
The performance of full-duplex (FD) relay systems can be greatly impacted by the self-interference (SI) at relays. By exploiting multi-antenna in FD relay systems, the spectral eff…