activity
20172021
most citedJoint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-encoder

50 citations · 101 across the 8 of their papers we have counts for

collaborators

14 papers

cs.IT202121 cited

Enhanced Fairness and Scalability of Power Control Schemes in Multi-Cell Massive MIMO

Amin Ghazanfari, Hei Victor Cheng, Emil Björnson +1

This paper studies the transmit power optimization in multi-cell massive multiple-input multiple-output (MIMO) systems. Network-wide max-min fairness (NW-MMF) and network-wide prop…

cs.IT2021

A Fair and Scalable Power Control Scheme in Multi-cell Massive MIMO

Amin Ghazanfari, Hei Victor Cheng, Emil Björnson +1

This paper studies the transmit power optimization in a multi-cell massive multiple-input multiple-output (MIMO) system. To overcome the scalability issue of network-wide max-min f…

cs.LG20203 cited

Learning Class Unique Features in Fine-Grained Visual Classification

Runkai Zheng, Zhijia Yu, Yinqi Zhang +3

A major challenge in Fine-Grained Visual Classification (FGVC) is distinguishing various categories with high inter-class similarity by learning the feature that differentiate the…

cs.IT2020

Stochastic Transceiver Optimization in Multi-Tags Symbiotic Radio Systems

Xihan Chen, Hei Victor Cheng, Kaiming Shen +2

Symbiotic radio (SR) is emerging as a spectrum- and energy-efficient communication paradigm for future passive Internet-of-things (IoT), where some single-antenna backscatter devic…

cs.IT2019

Power Control for Massive MIMO Systems with Nonorthogonal Pilots

Xihan Chen, Kaiming Shen, Hei Victor Cheng +3

This letter shows that optimizing the transmit powers along with optimally designed nonorthogonal pilots can significantly reduce pilot contamination and improve the overall throug…

cs.IT201950 cited

Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-encoder

Shuaichao Li, Wanqing Zhang, Ying Cui +2

Sparse support recovery arises in many applications in communications and signal processing. Existing methods tackle sparse support recovery problems for a given measurement matrix…