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 …
/machine-learning approaches to perform beam selection in the uplink of a mmWave …
Joint user association and beamforming design for millimeter wave UDN with wireless backhaul
As millimeter wave (mmWave) beamforming (BF) system can increase the areal capacity in
ultra-dense network (UDN), a joint design of user association and hybrid BF is challenging …
ultra-dense network (UDN), a joint design of user association and hybrid BF is challenging …
Deep reinforcement learning-based coordinated beamforming for mmWave massive MIMO vehicular networks
P Tarafder, W Choi - Sensors, 2023 - mdpi.com
As a critical enabler for beyond fifth-generation (B5G) technology, millimeter wave
(mmWave) beamforming for mmWave has been studied for many years. Multi-input multi …
(mmWave) beamforming for mmWave has been studied for many years. Multi-input multi …
Decoupling energy efficient approach for hybrid precoding-based mmWave massive MIMO-NOMA with SWIPT
A Jawarneh, M Kadoch, Z Albataineh - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, we address the problem of energy consumption associated with mixed signal
components such as analog-to-digital components in millimeter-wave (mmWave) massive …
components such as analog-to-digital components in millimeter-wave (mmWave) massive …
On the spectral-efficiency of low-complexity and resolution hybrid precoding and combining transceivers for mmWave MIMO systems
Millimeter wave (mmWave) multiple-input-multiple-output (MIMO) systems will almost
certainly use hybrid precoding to realize beamforming with few numbers of RF chains to …
certainly use hybrid precoding to realize beamforming with few numbers of RF chains to …
Low-complexity beam selection algorithms for millimeter wave beamspace MIMO systems
R Pal, AK Chaitanya, KV Srinivas - IEEE Communications …, 2019 - ieeexplore.ieee.org
We consider the downlink multi-user multiple-input multiple-output (MIMO) systems,
operating at millimeter-wave frequencies and equipped with a large number of antenna …
operating at millimeter-wave frequencies and equipped with a large number of antenna …
Machine learning based beam selection with low complexity hybrid beamforming design for 5G massive MIMO systems
In this paper, we present an energy-efficient joint machine learning based beam-user
selection and low complexity hybrid beamforming for the multiuser massive multiple-input …
selection and low complexity hybrid beamforming for the multiuser massive multiple-input …
Spectrum and energy efficiency optimization for hybrid precoding-based SWIPT-enabled mmWave mMIMO-NOMA systems
AN Uwaechia, NM Mahyuddin - IEEE Access, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) in millimeter-wave (mmWave) multiple-input
multiple-output (MIMO)(ie, mmWave MIMO-NOMA) systems, is a promising technology to …
multiple-output (MIMO)(ie, mmWave MIMO-NOMA) systems, is a promising technology to …
Multi-UE multi-AP beam alignment in user-centric cell-free massive MIMO systems operating at mmWave
S Buzzi, C D'Andrea, M Fresia… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper considers the problem of beam alignment in a cell-free massive MIMO
deployment with multiple access points (APs) and multiple user equipments (UEs) …
deployment with multiple access points (APs) and multiple user equipments (UEs) …
Latency-optimal mmWave radio access for V2X supporting next generation driving use cases
With the facilitation of the fifth generation new radio, vehicle-to-everything applications have
entered a brand new era to sustain the next generation driving use cases of advanced …
entered a brand new era to sustain the next generation driving use cases of advanced …