Machine learning on camera images for fast mmWave beamforming

B Salehi, M Belgiovine, SG Sanchez… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
Perfect alignment in chosen beam sectors at both transmit-and receive-nodes is required for
beamforming in mmWave bands. Current 802.11 ad WiFi and emerging 5G cellular …

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 …

Deep learning-based beam alignment in mmwave vehicular networks

NJ Myers, Y Wang, N González-Prelcic… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
Millimeter wave channels exhibit structure that allows beam alignment with fewer channel
measurements than exhaustive beam search. From a compressed sensing (CS) …

Accelerating beam sweeping in mmWave standalone 5G new radios using recurrent neural networks

A Mazin, M Elkourdi, RD Gitlin - 2018 IEEE 88th Vehicular …, 2018 - ieeexplore.ieee.org
Millimeter wave (mmWave) is a key technology to support high data rate demands for 5G
applications. Highly directional transmissions are crucial at these frequencies to …

Federated learning based proactive handover in millimeter-wave vehicular networks

K Qi, T Liu, C Yang - 2020 15th IEEE International Conference …, 2020 - ieeexplore.ieee.org
Proactive handover can avoid frequent handovers and reduce handover delay, which plays
an important role in maintaining the quality of service (QoS) for mobile users in millimeter …

Design and implementation for deep learning based adjustable beamforming training for millimeter wave communication systems

LH Shen, TW Chang, KT Feng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Millimeter wave (mmWave) provides extremely high throughput owing to their high
bandwidth utilization over higher frequencies. To compensate for the severe loss and …

Millimeter wave V2X communications: Use cases and design considerations of beam management

T Shimizu, V Va, G Bansal… - 2018 Asia-Pacific …, 2018 - ieeexplore.ieee.org
Sharing perception sensor information (eg, camera, radar, and LIDAR) among vehicles in
proximity using vehicle-to-everything (V2X) communications provides non-line-of-sight …

Learning-based predictive transmitter-receiver beam alignment in millimeter wave fixed wireless access links

J Zhang, C Masouros - IEEE Transactions on Signal Processing, 2021 - ieeexplore.ieee.org
Millimeter wave (mmwave) fixed wireless access is a key enabler of 5G and beyond small
cell network deployment, exploiting the abundant mmwave spectrum to provide Gbps …

Machine learning-based handovers for sub-6 GHz and mmWave integrated vehicular networks

L Yan, H Ding, L Zhang, J Liu, X Fang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The integration of sub-6 GHz and millimeter wave (mmWave) bands has a great potential to
enable both reliable coverage and high data rate in future vehicular networks. Nevertheless …

Reinforcement learning for user association and handover in mmwave-enabled networks

A Alizadeh, M Vu - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Using a multi-armed bandit technique, we propose centralized and semi-distributed online
algorithms for load balancing user association and handover in mmWave-enabled networks …