Acquisition of channel state information for mmWave massive MIMO: Traditional and machine learning-based approaches
The accuracy of channel state information (CSI) acquisition directly affects the performance
of millimeter wave (mmWave) communications. In this article, we provide an overview on …
of millimeter wave (mmWave) communications. In this article, we provide an overview on …
Learning and adaptation for millimeter-wave beam tracking and training: A dual timescale variational framework
M Hussain, N Michelusi - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
Millimeter-wave vehicular networks incur enormous beam-training overhead to enable
narrow-beam communications. This paper proposes a learning and adaptation framework in …
narrow-beam communications. This paper proposes a learning and adaptation framework in …
A deep learning approach to location-and orientation-aided 3D beam selection for mmWave communications
S Rezaie, E De Carvalho… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Position-aided beam selection methods have been shown to be an effective approach to
achieve high beamforming gain while limiting the overhead and latency of initial access in …
achieve high beamforming gain while limiting the overhead and latency of initial access in …
Fast beam alignment via pure exploration in multi-armed bandits
The beam alignment (BA) problem consists in accurately aligning the transmitter and
receiver beams to establish a reliable communication link in wireless communication …
receiver beams to establish a reliable communication link in wireless communication …
Mobility and blockage-aware communications in millimeter-wave vehicular networks
Mobility may degrade the performance of next-generation vehicular networks operating at
the millimeter-wave spectrum: frequent mis-alignment and blockages require repeated …
the millimeter-wave spectrum: frequent mis-alignment and blockages require repeated …
Fast position-aided MIMO beam training via noisy tensor completion
In this paper, a data-driven position-aided approach is proposed to reduce the training
overhead in MIMO systems by leveraging side information and on-the-field measurements …
overhead in MIMO systems by leveraging side information and on-the-field measurements …
Location-and orientation-aware millimeter wave beam selection for multi-panel antenna devices
While initial beam alignment (BA) in millimeter-wave networks has been thoroughly
investigated, most research assumes a simplified terminal model based on uniform …
investigated, most research assumes a simplified terminal model based on uniform …
Deep transfer learning for location-aware millimeter wave beam selection
The main bottleneck for using deep neural networks in location-aided millimeter wave beam
alignment procedures is the need for large datasets to tune their large set of trainable …
alignment procedures is the need for large datasets to tune their large set of trainable …
Reinforcement learning for optimized beam training in multi-hop terahertz communications
Communication at terahertz (THz) frequency bands is a promising solution for achieving
extremely high data rates in next-generation wireless networks. While the THz …
extremely high data rates in next-generation wireless networks. While the THz …
Best Arm Identification Based Beam Acquisition in Stationary and Abruptly Changing Environments
G Ghatak - IEEE Transactions on Signal Processing, 2024 - ieeexplore.ieee.org
We study the initial beam acquisition problem in millimeter wave (mm-wave) networks from
the perspective of best arm identification in multi-armed bandits (MABs). For the stationary …
the perspective of best arm identification in multi-armed bandits (MABs). For the stationary …