Learning beam codebooks with neural networks: Towards environment-aware mmWave MIMO

Y Zhang, M Alrabeiah… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Scaling the number of antennas up is a key characteristic of current and future wireless
communication systems. The hardware cost and power consumption, however, motivate …

Evaluation of IEEE 802.11 ad for mmWave V2V communications

B Coll-Perales, M Gruteser… - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
Autonomous vehicles can construct a more accurate perception of their surrounding
environment by exchanging rich sensor data with nearby vehicles. Such exchange can …

Fast mmwave beam alignment via correlated bandit learning

W Wu, N Cheng, N Zhang, P Yang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Beam alignment (BA) is to ensure the transmitter and receiver beams are accurately aligned
to establish a reliable communication link in millimeter-wave (mmwave) systems. Existing …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

Deep learning on visual and location data for V2I mmWave beamforming

G Reus-Muns, B Salehi, D Roy, T Jian… - … on Mobility, Sensing …, 2021 - ieeexplore.ieee.org
Accurate beam alignment in the millimeter-wave (mmWave) band introduces considerable
overheads involving brute-force exploration of multiple beam-pair combinations and beam …

On the Feasibility of Integrating mmWave and IEEE 802.11 p for V2V Communications

M Giordani, A Zanella, T Higuchi… - 2018 IEEE 88th …, 2018 - ieeexplore.ieee.org
Recently, the millimeter wave (mmWave) band has been investigated as a means to support
the foreseen extreme data rate demands of emerging automotive applications, which go …

Autonomous environment mapping using commodity millimeter-wave network device

A Zhou, S Yang, Y Yang, Y Fan… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
Ambient environment information, including reflectors' location, dimension and reflectivity, is
a key input to many millimeter-wave (mmWave) networking and sensing applications. It has …

Self-organizing mm wave networks: A power allocation scheme based on machine learning

R Amiri, H Mehrpouyan - 2018 11th Global symposium on …, 2018 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication is anticipated to provide significant throughout
gains in urban scenarios. To this end, network densification is a necessity to meet the high …

DeepBeam: Deep waveform learning for coordination-free beam management in mmWave networks

M Polese, F Restuccia, T Melodia - Proceedings of the Twenty-second …, 2021 - dl.acm.org
Highly directional millimeter wave (mmWave) radios need to perform beam management to
establish and maintain reliable links. To achieve this objective, existing solutions mostly rely …

BsNet: A deep learning-based beam selection method for mmWave communications

CH Lin, WC Kao, SQ Zhan… - 2019 IEEE 90th Vehicular …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) techniques have attracted much attention in recent years owing
to features such as substantial bandwidth for communication, and it has applications in radar …