Deep active learning approach to adaptive beamforming for mmWave initial alignment

F Sohrabi, Z Chen, W Yu - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
This paper proposes a deep learning approach to the adaptive and sequential beamforming
design problem for the initial access phase in a mmWave environment with a single-path …

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 …

Active learning and CSI acquisition for mmWave initial alignment

SE Chiu, N Ronquillo, T Javidi - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication with large antenna arrays is a promising
technique to enable extremely high data rates due to large available bandwidth in mmWave …

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 …

Deep reinforcement learning based blind mmWave MIMO beam alignment

V Raj, N Nayak, S Kalyani - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Directional beamforming is a crucial component for realizing robust wireless millimeter wave
(mmWave) communication systems. Beam alignment using brute-force search introduces …

Learning site-specific probing beams for fast mmWave beam alignment

Y Heng, J Mo, JG Andrews - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Beam alignment–the process of finding an optimal directional beam pair–is a challenging
procedure crucial to millimeter wave (mmWave) communication systems. We propose a …

Exploring AoA/AoD dynamics in beam alignment of mobile millimeter wave MIMO systems

D Zhang, A Li, M Shirvanimoghaddam… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this paper, we present a priori-aided beam alignment scheme for time-varying millimeter
wave multiple-input multiple-output (MIMO) systems, where the temporal correlations of the …

[HTML][HTML] Survey on positioning information assisted mmWave beamforming training

AM Nor, S Halunga, O Fratu - Ad Hoc Networks, 2022 - Elsevier
Abstract mmWave communication is considered a major player for 5 G and beyond networks
due to its wide unlicensed bandwidth. However, it comes with some challenges such as …

Learning and data-driven beam selection for mmWave communications: An angle of arrival-based approach

C Antón-Haro, X Mestre - IEEE Access, 2019 - ieeexplore.ieee.org
This paper investigates how angle-of-arrival (AoA) information can be exploited by deep-
/machine-learning approaches to perform beam selection in the uplink of a mmWave …

Fast millimeter-wave beam training with receive beamforming

J Kim, AF Molisch - Journal of Communications and Networks, 2014 - ieeexplore.ieee.org
This paper proposes fast millimeter-wave (mm-wave) beam training protocols with receive
beamforming. Both IEEE standards and the academic literature have generally considered …