Multi-armed bandit beam alignment and tracking for mobile millimeter wave communications

MB Booth, V Suresh, N Michelusi… - IEEE Communications …, 2019 - ieeexplore.ieee.org
We propose a novel beam alignment and tracking algorithm for time-varying millimeter wave
channels with a dynamic channel support. Millimeter wave beam alignment is challenging …

Deep learning aided fingerprint-based beam alignment for mmWave vehicular communication

K Satyanarayana, M El-Hajjar… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Harnessing the substantial bandwidth available at millimeter wave (mmWave) carrier
frequencies has proved to be beneficial to accommodate a large number of users with …

Location-aided mm-wave channel estimation for vehicular communication

N Garcia, H Wymeersch, EG Ström… - 2016 IEEE 17th …, 2016 - ieeexplore.ieee.org
Millimeter-wave (mm-wave) communication is a promising technology for next-generation
wireless systems. One challenging application lies in the vehicular domain, where mm-wave …

Generative adversarial estimation of channel covariance in vehicular millimeter wave systems

X Li, A Alkhateeb… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
Enabling highly-mobile millimeter wave (mmWave) systems is challenging because of the
huge training overhead associated with acquiring the channel knowledge or designing the …

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 …

Online learning for position-aided millimeter wave beam training

V Va, T Shimizu, G Bansal, RW Heath - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate beam alignment is essential for the beam-based millimeter wave communications.
The conventional beam sweeping solutions often have large overhead, which is …

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 …

MmWave vehicular beam selection with situational awareness using machine learning

Y Wang, A Klautau, M Ribero, ACK Soong… - IEEE …, 2019 - ieeexplore.ieee.org
Establishing and tracking beams in millimeter-wave (mmWave) vehicular communication is
a challenging task. Large antenna arrays and narrow beams introduce significant system …

Deep reinforcement learning based joint beam allocation and relay selection in mmWave vehicular networks

Y Ju, H Wang, Y Chen, TX Zheng, Q Pei… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Millimeter-wave (mmWave) can provide abundant spectrum resource in vehicular
communication networks. Nevertheless, due to the high path-loss and blocking effects in …

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 …