Artificial intelligence for elastic management and orchestration of 5G networks

DM Gutierrez-Estevez, M Gramaglia… - IEEE wireless …, 2019 - ieeexplore.ieee.org
Artificial Intelligence (AI) as … Network Intelligence (ENI) industry specification group of the
European Telecommunications Standards Institute (ETSI) to embed an AI engine in the network

Application of machine learning in wireless networks: Key techniques and open issues

Y Sun, M Peng, Y Zhou, Y Huang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
… are discussed with regard to machine learning based network … the popular machine learning
techniques utilized in wireless networks, … The applications of machine learning in resource …

Self-deployment of non-stationary wireless systems by knowledge management with artificial intelligence

H Gacanin, E Perenda, R Atawia - … and Networking, 2019 - ieeexplore.ieee.org
… self-deployment strategy for non-stationary wireless extenders, where both back-haul and
front-haul links are optimized. We present an artificial intelligence (AI) case based reasoning (…

Artificial intelligence inspired transmission scheduling in cognitive vehicular communications and networks

K Zhang, S Leng, X Peng, L Pan… - IEEE internet of …, 2018 - ieeexplore.ieee.org
… in various wireless communication applications, such as public safety services and
wireless sensor networks. In ITS, although the concept of cooperative wireless communications …

A survey of machine learning algorithms for 6G wireless networks

A Patil, S Iyer, RJ Pandya - arXiv preprint arXiv:2203.08429, 2022 - arxiv.org
… focus of Artificial Intelligence/Machine Learning (AI/ML… wireless network service providers
to (i) offer high automation levels from distributed AI/ML architectures applicable at the network

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
… in wireless networks, we need to develop new wireless communication techniques and
strategies to support massive and flexible edge devices participation, as well as support efficient …

Artificial-intelligence-driven fog radio access networks: Recent advances and future trends

M Peng, TQS Quek, G Mao, Z Ding… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
The articles in this special section focus on artificial intelligence-driven fog radio access
networks. To satisfy the explosively increasing demands of highspeed data applications and …

Improving Wireless Sensor Networks Effectiveness with Artificial Intelligence

P Raja, S Kumar, D Singh… - … Engineering with AI …, 2023 - Wiley Online Library
… and social ability, Distributed Artificial Intelligence follows similar objective then with an …
agent networks is a new model designed for improvement of Distributed Artificial Intelligence. …

6G white paper on machine learning in wireless communication networks

S Ali, W Saad, N Rajatheva, K Chang… - arXiv preprint arXiv …, 2020 - arxiv.org
… in wireless networks. Then, we discuss the problems that can be solved by using ML in
various layers of the network … Zero-touch optimization of wireless networks using ML is another …

When machine learning meets wireless cellular networks: Deployment, challenges, and applications

U Challita, H Ryden, H Tullberg - IEEE Communications …, 2020 - ieeexplore.ieee.org
… Meanwhile, the recent advances in artificial intelligence (AI) promise to address the
emerging complex communication system design. AI promises to combine simplification with …