most citedDeep Learning for Beam-Management: State-of-the-Art, Opportunities and Challenges

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

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…