Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service

J Du, C Jiang, J Wang, Y Ren… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …

AI-enabled future wireless networks: Challenges, opportunities, and open issues

M Elsayed, M Erol-Kantarci - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
An expected plethora of demanding services and use cases mandates a revolutionary shift
in the way future wireless network resources are managed. Indeed, when application …

6G Visions: Mobile ultra-broadband, super internet-of-things, and artificial intelligence

L Zhang, YC Liang, D Niyato - China Communications, 2019 - ieeexplore.ieee.org
With a ten-year horizon from concept to reality, it is time now to start thinking about what will
the sixth-generation (6G) mobile communications be on the eve of the fifth-generation (5G) …

Machine learning paradigms for next-generation wireless networks

C Jiang, H Zhang, Y Ren, Z Han… - IEEE Wireless …, 2016 - ieeexplore.ieee.org
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …

Ten challenges in advancing machine learning technologies toward 6G

N Kato, B Mao, F Tang, Y Kawamoto… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
As the 5G standard is being completed, academia and industry have begun to consider a
more developed cellular communication technique, 6G, which is expected to achieve high …

[HTML][HTML] Machine learning for physical layer in 5G and beyond wireless networks: A survey

J Tanveer, A Haider, R Ali, A Kim - Electronics, 2021 - mdpi.com
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …

Machine learning for 6G enhanced ultra-reliable and low-latency services

Y Liu, Y Deng, A Nallanathan… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Ultra-reliable and low-latency communications (URLLC), as one of the major communication
services of the fifth-generation (5G) and the sixth-generation (6G) cellular networks, is critical …

Learning-driven wireless communications, towards 6G

MJ Piran, DY Suh - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) of wireless communication is in its infancy, and its evolving
versions will be launched over the coming years. However, according to exposing the …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

AI-enabled radio resource allocation in 5G for URLLC and eMBB users

M Elsayed, M Erol-Kantarci - 2019 IEEE 2nd 5G World Forum …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) network is expected to accommodate heterogeneous traffic with
diverse QoS demands. In this paper, we address the coexistence of Ultra-Reliable Low …