Exploring the road to 6G: ABC—foundation for intelligent mobile networks

J Zhu, M Zhao, S Zhang, W Zhou - China Communications, 2020 - ieeexplore.ieee.org
The 5th generation (5G) mobile networks has been put into services across a number of
markets, which aims at providing subscribers with high bit rates, low latency, high capacity …

Transfer reinforcement learning for 5G new radio mmWave networks

M Elsayed, M Erol-Kantarci… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we aim at interference mitigation in 5G millimeter-Wave (mm-Wave)
communications by employing beamforming and Non-Orthogonal Multiple Access (NOMA) …

A survey of online data-driven proactive 5G network optimisation using machine learning

B Ma, W Guo, J Zhang - IEEE access, 2020 - ieeexplore.ieee.org
In the fifth-generation (5G) mobile networks, proactive network optimisation plays an
important role in meeting the exponential traffic growth, more stringent service requirements …

Deep learning at the mobile edge: Opportunities for 5G networks

M McClellan, C Cervelló-Pastor, S Sallent - Applied Sciences, 2020 - mdpi.com
Mobile edge computing (MEC) within 5G networks brings the power of cloud computing,
storage, and analysis closer to the end user. The increased speeds and reduced delay …

Machine learning in the air

D Gündüz, P de Kerret, ND Sidiropoulos… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …

Deep learning for wireless physical layer: Opportunities and challenges

T Wang, CK Wen, H Wang, F Gao… - China …, 2017 - ieeexplore.ieee.org
Machine learning (ML) has been widely applied to the upper layers of wireless
communication systems for various purposes, such as deployment of cognitive radio and …

An online context-aware machine learning algorithm for 5G mmWave vehicular communications

GH Sim, S Klos, A Asadi, A Klein… - IEEE/ACM Transactions …, 2018 - ieeexplore.ieee.org
Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-
everything (V2X) since future vehicular systems demand Gbps links to acquire the …

Toward an intelligent edge: Wireless communication meets machine learning

G Zhu, D Liu, Y Du, C You, J Zhang… - IEEE communications …, 2020 - ieeexplore.ieee.org
The recent revival of AI is revolutionizing almost every branch of science and technology.
Given the ubiquitous smart mobile gadgets and IoT devices, it is expected that a majority of …

[图书][B] 6G mobile wireless networks

Y Wu, S Singh, T Taleb, A Roy, HS Dhillon… - 2021 - Springer
3GPP recently completed its Release 16 in June 2020 which is a key milestone for the
specification of an initial full 5G system. It has also started the discussion for Release 17 and …

An overview of wireless communication technology using deep learning

J Jiao, X Sun, L Fang, J Lyu - China Communications, 2021 - ieeexplore.ieee.org
With the development of 5G, the future wireless communication network tends to be more
and more intelligent. In the face of new service demands of communication in the future such …