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 …
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
Computer vision aided beam tracking in a real-world millimeter wave deployment
S Jiang, A Alkhateeb - 2022 IEEE Globecom Workshops (GC …, 2022 - ieeexplore.ieee.org
Millimeter-wave (mmWave) and terahertz (THz) communications require beamforming to
acquire adequate receive signal-to-noise ratio (SNR). To find the optimal beam, current …
acquire adequate receive signal-to-noise ratio (SNR). To find the optimal beam, current …
A survey of beam management for mmWave and THz communications towards 6G
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …
ushering in a new era of wireless communications. Beam management, namely initial …
Deep learning for mmWave beam-management: State-of-the-art, opportunities and challenges
Benefiting from huge bandwidth resources, millimeter-wave (mmWave) communications
provide one of the most promising technologies for next-generation wireless networks. To …
provide one of the most promising technologies for next-generation wireless networks. To …
MAMBA: A multi-armed bandit framework for beam tracking in millimeter-wave systems
Millimeter-wave (mmW) spectrum is a major candidate to support the high data rates of 5G
systems. However, due to directionality of mmW communication systems, misalignments …
systems. However, due to directionality of mmW communication systems, misalignments …
Deep learning-based beam tracking for millimeter-wave communications under mobility
In this paper, we propose a deep learning-based beam tracking method for millimeter-wave
(mmWave) communications. Beam tracking is employed for transmitting the known symbols …
(mmWave) communications. Beam tracking is employed for transmitting the known symbols …
Initial access & beam alignment for mmWave and terahertz communications
W Attaoui, K Bouraqia, E Sabir - IEEE Access, 2022 - ieeexplore.ieee.org
The initial access in Millimeter wave (mmWave) 5G communications is very challenging and
time consuming. In general, mmWave and terahertz communications require the use of …
time consuming. In general, mmWave and terahertz communications require the use of …
Deep learning coordinated beamforming for highly-mobile millimeter wave systems
A Alkhateeb, S Alex, P Varkey, Y Li, Q Qu… - IEEE …, 2018 - ieeexplore.ieee.org
Supporting high mobility in millimeter wave (mmWave) systems enables a wide range of
important applications, such as vehicular communications and wireless virtual/augmented …
important applications, such as vehicular communications and wireless virtual/augmented …
Leveraging machine learning for millimeter wave beamforming in beyond 5G networks
Millimeter wave (mmWave) communication has attracted considerable attention as a key
technology for the next-generation wireless communications thanks to its exceptional …
technology for the next-generation wireless communications thanks to its exceptional …
Intelligent beam training for millimeter-wave communications via deep reinforcement learning
Millimeter wave (mmwave) communication has attracted increasing attention owing to its
abundant spectrum resource. The short wave-length of mmwave signals facilitates exploiting …
abundant spectrum resource. The short wave-length of mmwave signals facilitates exploiting …