Machine Learning for Millimeter Wave and Terahertz Beam Management: A Survey and Open Challenges

Machine Learning for Millimeter Wave and Terahertz Beam Management: A Survey and Open Challenges

Next-generation wireless communication networks will benefit from beamforming gain to utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high directional gain, a beam management (BM) framework acquires and tracks optimal downlink and uplink beam pairs through exhaus...

Full description

Bibliographic Details
Main Authors: M. Qurratulain Khan, Abdo Gaber, Philipp Schulz, Gerhard Fettweis
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
6G
beam management (BM)
beam tracking
federated learning (FL)
machine learning (ML)
millimeter wave (mmWave)
Online Access:https://ieeexplore.ieee.org/document/10036372/

Internet

https://ieeexplore.ieee.org/document/10036372/

Similar Items