activity
20202026
most citedDeep Learning for Beam-Management: State-of-the-Art, Opportunities and Challenges

5 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

eess.SP2020★ 1 cited

Deep Learning Assisted mmWave Beam Prediction with Prior Low-frequency Information

Ke Ma, Dongxuan He, Hancun Sun +1

Huge overhead of beam training poses a significant challenge to mmWave communications. To address this issue, beam tracking has been widely investigated whereas existing methods ar…