Edge artificial intelligence for 6G: Vision, enabling technologies, and applications

KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

Intelligent user-centric network selection: A model-driven reinforcement learning framework

X Wang, J Li, L Wang, C Yang, Z Han - IEEE Access, 2019 - ieeexplore.ieee.org
Ultra-dense heterogeneous networks, as a novel network architecture in the fifth-generation
mobile communication system (5G), promise ubiquitous connectivity and smooth …

Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends

HMF Noman, E Hanafi, KA Noordin, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …

Toward native artificial intelligence in 6G networks: System design, architectures, and paradigms

J Wu, R Li, X An, C Peng, Z Liu, J Crowcroft… - arXiv preprint arXiv …, 2021 - arxiv.org
The mobile communication system has transformed to be the fundamental infrastructure to
support digital demands from all industry sectors, and 6G is envisioned to go far beyond the …

Machine intelligence techniques for next-generation context-aware wireless networks

TE Bogale, X Wang, LB Le - arXiv preprint arXiv:1801.04223, 2018 - arxiv.org
The next generation wireless networks (ie 5G and beyond), which would be extremely
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …

A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges

AT Jawad, R Maaloul, L Chaari - Computer Networks, 2023 - Elsevier
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms
industry has been revolutionized by the concept of 5G networks. Since late 2018 …

Scope of machine learning applications for addressing the challenges in next‐generation wireless networks

RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …

Model-aided wireless artificial intelligence: Embedding expert knowledge in deep neural networks for wireless system optimization

A Zappone, M Di Renzo, M Debbah… - IEEE Vehicular …, 2019 - ieeexplore.ieee.org
Deep learning based on artificial neural networks (ANNs) is a powerful machine-learning
method that, in recent years, has been successfully used to realize tasks such as image …

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 …

On end-to-end intelligent automation of 6G networks

A Moubayed, A Shami, A Al-Dulaimi - Future Internet, 2022 - mdpi.com
The digital transformation of businesses and services is currently in full force, opening the
world to a new set of unique challenges and opportunities. In this context, 6G promises to be …