A survey on hybrid beamforming techniques in 5G: Architecture and system model perspectives
The increasing wireless data traffic demands have driven the need to explore suitable
spectrum regions for meeting the projected requirements. In the light of this, millimeter wave …
spectrum regions for meeting the projected requirements. In the light of this, millimeter wave …
[PDF][PDF] Prospective beamforming technologies for ultra-massive MIMO in terahertz communications: A tutorial
Terahertz (THz) communications with a frequency band 0.1− 10 THz are envisioned as a
promising solution to future high-speed wireless communication. Although with tens of …
promising solution to future high-speed wireless communication. Although with tens of …
Beam management in millimeter-wave communications for 5G and beyond
YNR Li, B Gao, X Zhang, K Huang - IEEE Access, 2020 - ieeexplore.ieee.org
Massive MIMO is one of the promising techniques to improve spectral efficiency and network
performance for reaching its targeted multi-gigabit throughput in 5G systems. For 5G New …
performance for reaching its targeted multi-gigabit throughput in 5G systems. For 5G New …
Beamforming technologies for ultra-massive MIMO in terahertz communications
Terahertz (THz) communications with a frequency band 0.1–10 THz are envisioned as a
promising solution to future high-speed wireless communication. Although with tens of …
promising solution to future high-speed wireless communication. Although with tens of …
Channel estimation and hybrid precoding for frequency selective multiuser mmWave MIMO systems
JP González-Coma… - IEEE Journal of …, 2018 - ieeexplore.ieee.org
Configuring the hybrid precoders and combiners in a millimeter wave multiuser multiple-
input multiple-output system is challenging in frequency selective channels. In this paper, we …
input multiple-output system is challenging in frequency selective channels. In this paper, we …
Deep learning based hotspot prediction and beam management for adaptive virtual small cell in 5G networks
To meet the extremely stringent but diverse requirements of 5G, cost-effective network
deployment and traffic-aware adaptive utilization of network resources are becoming …
deployment and traffic-aware adaptive utilization of network resources are becoming …
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 …
A review on energy management issues for future 5G and beyond network
The much-awaited year—2021 that promises to deliver a great deal on the 5th generation
(5G) wireless systems' expectations is finally here. Several solutions have been proposed to …
(5G) wireless systems' expectations is finally here. Several solutions have been proposed to …
Deep reinforcement learning based beam selection for hybrid beamforming and user grouping in massive MIMO-NOMA system
This paper presents a deep reinforcement learning-based beam-user selection and hybrid
beamforming design for the multiuser massive multiple-input multiple-output (MIMO) non …
beamforming design for the multiuser massive multiple-input multiple-output (MIMO) non …
Beyond traditional beamforming: Singular vector projection techniques for mu-mimo interference management
This paper introduces low-complexity beamforming algorithms for multi-user multiple-input
multiple-output (MU-MIMO) systems to minimize inter-user interference and enhance …
multiple-output (MU-MIMO) systems to minimize inter-user interference and enhance …