Artificial intelligence for elastic management and orchestration of 5G networks

DM Gutierrez-Estevez, M Gramaglia… - IEEE wireless …, 2019 - ieeexplore.ieee.org
The emergence of 5G enables a broad set of diversified and heterogeneous services with
complex and potentially conflicting demands. For networks to be able to satisfy those needs …

An architecture and performance evaluation framework for artificial intelligence solutions in beyond 5G radio access networks

GP Koudouridis, Q He, G Dán - EURASIP Journal on Wireless …, 2022 - Springer
The evolution of mobile communications towards beyond 5th-generation (B5G) networks is
envisaged to incorporate high levels of network automation. Network automation requires …

Towards closed-loop automation in 5g open ran: Coupling an open-source simulator with xapps

T Karamplias, ST Spantideas… - 2022 Joint European …, 2022 - ieeexplore.ieee.org
The goal of this paper is to demonstrate the implementation of technological solutions that
will enable the optimization of 5G network resources and services in an automated and self …

Artificial intelligence in vehicular wireless networks: A case study using ns-3

M Drago, T Zugno, F Mason, M Giordani… - Proceedings of the …, 2022 - dl.acm.org
Artificial Intelligence (AI) techniques have emerged as a powerful approach to make
wireless networks more efficient and adaptable. In this paper we present an ns-3 simulation …

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 …

Usage of network simulators in machine-learning-assisted 5G/6G networks

F Wilhelmi, M Carrascosa, C Cano… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Without any doubt, Machine Learning (ML) will be an important driver of future
communications due to its foreseen performance when applied to complex problems …

Unsupervised machine learning in 6g networks-state-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis… - … on modern circuits …, 2021 - ieeexplore.ieee.org
Wireless communication systems play a very crucial role for business, commercial, health
and safety applications. With the commercial deployment of fifth generation (5G), academic …

Emerging techniques and applications for 5G networks and beyond

VD Nguyen, TQ Duong, QT Vien - Mobile Networks and Applications, 2020 - Springer
It is predicted that 50 billion devices will be connected to the Internet by 2020, and the
number of mobile-connected devices will exceed 11.5 billion by 2019. These growth …

[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020

A Samad, W Saad, R Nandana, C Kapseok… - 2020 - diva-portal.org
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …

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 …