Beam management in ultra-dense mmWave network via federated reinforcement learning: An intelligent and secure approach
Deploying ultra-dense networks that operate on millimeter wave (mmWave) band is a
promising way to address the tremendous growth on mobile data traffic. However, one key …
promising way to address the tremendous growth on mobile data traffic. However, one key …
Deep learning-based beam management and interference coordination in dense mmWave networks
Due to severe signal pathloss in millimeter wave (mmWave) band, beamforming enabled
directional transmission is critical to overcome the attenuation challenge in future mmWave …
directional transmission is critical to overcome the attenuation challenge in future mmWave …
Design and implementation for deep learning based adjustable beamforming training for millimeter wave communication systems
Millimeter wave (mmWave) provides extremely high throughput owing to their high
bandwidth utilization over higher frequencies. To compensate for the severe loss and …
bandwidth utilization over higher frequencies. To compensate for the severe loss and …
Multi-agent deep reinforcement learning for distributed handover management in dense mmWave networks
The dense deployment of millimeter wave small cells combined with directional
beamforming is a promising solution to enhance the network capacity of the current …
beamforming is a promising solution to enhance the network capacity of the current …
Machine learning empowered beam management for intelligent reflecting surface assisted MmWave networks
Recently, intelligent reflecting surface (IRS) assisted mmWave networks are emerging,
which bear the potential to address the blockage issue of the millimeter wave (mmWave) …
which bear the potential to address the blockage issue of the millimeter wave (mmWave) …
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 …
Fast MIMO beamforming via deep reinforcement learning for high mobility mmWave connectivity
M Fozi, AR Sharafat, M Bennis - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
Future 5G/6G wireless networks will be increasingly using millimeter waves (mmWaves),
where fast and efficient beamforming is vital for providing continuous service to highly …
where fast and efficient beamforming is vital for providing continuous service to highly …
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 …
Energy-efficient user association in mmWave/THz ultra-dense network via multi-agent deep reinforcement learning
As a key enabler for 5G and 6G wireless communications, millimeter-wave (mmWave) and
terahertz (THz) ultra-dense network (UDN) has received a great deal of attention recently …
terahertz (THz) ultra-dense network (UDN) has received a great deal of attention recently …
Deep reinforcement learning for joint beamwidth and power optimization in mmWave systems
This letter studies the joint beamwidth and transmit power optimization problem in millimeter
wave communication systems. A deep reinforcement learning based approach is proposed …
wave communication systems. A deep reinforcement learning based approach is proposed …
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