Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
A survey of collaborative machine learning using 5G vehicular communications
SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …
communications allow AVs to collaborate on solving common autonomous driving tasks …
Wireless network intelligence at the edge
Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …
based machine learning (ML) have transformed every aspect of our lives from face …
DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications
A Alkhateeb - arXiv preprint arXiv:1902.06435, 2019 - arxiv.org
Machine learning tools are finding interesting applications in millimeter wave (mmWave)
and massive MIMO systems. This is mainly thanks to their powerful capabilities in learning …
and massive MIMO systems. This is mainly thanks to their powerful capabilities in learning …
Toward intelligent vehicular networks: A machine learning framework
As wireless networks evolve toward high mobility and providing better support for connected
vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular …
vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular …
Sparse channel estimation and hybrid precoding using deep learning for millimeter wave massive MIMO
Channel estimation and hybrid precoding are considered for multi-user millimeter wave
massive multi-input multi-output system. A deep learning compressed sensing (DLCS) …
massive multi-input multi-output system. A deep learning compressed sensing (DLCS) …
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 …
Wireless edge computing with latency and reliability guarantees
Edge computing is an emerging concept based on distributed computing, storage, and
control services closer to end network nodes. Edge computing lies at the heart of the fifth …
control services closer to end network nodes. Edge computing lies at the heart of the fifth …
Enabling multi-functional 5G and beyond user equipment: A survey and tutorial
The fifth generation (5G) research and development has been fueled by many new
breakthroughs in various areas. The recent progress in carrier aggregation (CA), licensed …
breakthroughs in various areas. The recent progress in carrier aggregation (CA), licensed …
Online learning for position-aided millimeter wave beam training
Accurate beam alignment is essential for the beam-based millimeter wave communications.
The conventional beam sweeping solutions often have large overhead, which is …
The conventional beam sweeping solutions often have large overhead, which is …