By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular communications allow AVs to collaborate on solving common autonomous driving tasks …
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 …
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 …
L Liang, H Ye, GY Li - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
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 …
W Ma, C Qi, Z Zhang, J Cheng - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Channel estimation and hybrid precoding are considered for multi-user millimeter wave massive multi-input multi-output system. A deep learning compressed sensing (DLCS) …
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 …
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 …
Y Huo, X Dong, W Xu, M Yuen - IEEE Access, 2019 - ieeexplore.ieee.org
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 …
Accurate beam alignment is essential for the beam-based millimeter wave communications. The conventional beam sweeping solutions often have large overhead, which is …