The roadmap to 6G: AI empowered wireless networks

KB Letaief, W Chen, Y Shi, J Zhang… - IEEE communications …, 2019 - ieeexplore.ieee.org
The recent upsurge of diversified mobile applications, especially those supported by AI, is
spurring heated discussions on the future evolution of wireless communications. While 5G is …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

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 …

Intelligent 5G: When cellular networks meet artificial intelligence

R Li, Z Zhao, X Zhou, G Ding, Y Chen… - IEEE Wireless …, 2017 - ieeexplore.ieee.org
5G cellular networks are assumed to be the key enabler and infrastructure provider in the
ICT industry, by offering a variety of services with diverse requirements. The standardization …

When 5G meets deep learning: a systematic review

GL Santos, PT Endo, D Sadok, J Kelner - Algorithms, 2020 - mdpi.com
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …

Intelligence in IoT-based 5G networks: Opportunities and challenges

N Javaid, A Sher, H Nasir… - IEEE Communications …, 2018 - ieeexplore.ieee.org
The requirement of high data rates, low latency, efficient use of spectrum, and coexistence of
different network technologies are major considerations in Internet of Things (IoT)-based fifth …

Nine challenges in artificial intelligence and wireless communications for 6G

W Tong, GY Li - IEEE Wireless Communications, 2022 - ieeexplore.ieee.org
In recent years, artificial intelligence (AI) techniques, especially machine learning (ML), have
been successfully applied in various areas, leading to a widespread belief that AI will …

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 …

[HTML][HTML] Towards 6G Internet of Things: Recent advances, use cases, and open challenges

Z Qadir, KN Le, N Saeed, HS Munawar - ICT express, 2023 - Elsevier
Smart services based on the Internet of Everything (IoE) are gaining considerable popularity
due to the ever-increasing demands of wireless networks. This demands the appraisal of the …

[PDF][PDF] EdgeAI: A vision for distributed, edge-native artificial intelligence in future 6G networks

L Lovén, T Leppänen, E Peltonen, J Partala… - 6G Wireless Summit …, 2019 - oulurepo.oulu.fi
Edge computing, a key part of the upcoming 5G mobile networks and future 6G
technologies, promises to distribute cloud applications while providing more bandwidth and …