528 citations · 712 across the 17 of their papers we have counts for
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cs.IT2021★ 5 cited
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…
eess.SP2021★ 1 cited
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…