528 citations · 712 across the 17 of their papers we have counts for
17 papers
Deep Learning for Beam-Management: State-of-the-Art, Opportunities and Challenges
Ke Ma, Zhaocheng Wang, Wenqiang Tian +2
Benefiting from huge bandwidth resources, millimeter-wave (mmWave) communications provide one of the most promising technologies for next-generation wireless networks. To compensat…
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems
Ke Ma, Dongxuan He, Hancun Sun +2
Huge overhead of beam training imposes a significant challenge in millimeter-wave (mmWave) wireless communications. To address this issue, in this paper, we propose a wide beam bas…
Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications
Li Qiao, Jun Zhang, Zhen Gao +2
A fundamental challenge of the large-scale Internet-of-Things lies in how to support massive machine-type communications (mMTC). This letter proposes a media modulation based mMTC…
Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels
Shiqi Gong, Chengwen Xing, Vincent K. N. Lau +2
The potential of deploying large-scale antenna arrays in future wireless systems has stimulated extensive research on hybrid transceiver designs aiming to approximate the optimal f…
Hybrid Transceiver Optimization for Multi-Hop Communications
Chengwen Xing, Xin Zhao, Shuai Wang +3
Multi-hop communication with the aid of large-scale antenna arrays will play a vital role in future emergence communication systems. In this paper, we investigate amplify-and-forwa…
Closed-Loop Sparse Channel Estimation for Wideband Millimeter-Wave Full-Dimensional MIMO Systems
Anwen Liao, Zhen Gao, Hua Wang +3
This paper proposes a closed-loop sparse channel estimation (CE) scheme for wideband millimeter-wave hybrid full-dimensional multiple-input multiple-output and time division duplex…