Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges

CX Wang, M Di Renzo, S Stanczak… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
5G wireless communication networks are currently being deployed, and B5G networks are
expected to be developed over the next decade. AI technologies and, in particular, ML have …

Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements

M Skocaj, F Conserva, NS Grande… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
The advent of novel 5G services and applications with binding latency requirements and
guaranteed Quality of Service (QoS) hastened the need to incorporate autonomous and …

Forecasting mobile traffic to achieve greener 5g networks: When machine learning is key

N Piovesan, A De Domenico, M Bernabé… - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
To minimise the energy consumption of the fifth generation (5G) of mobile technology, it is
necessary to adapt the transmission capabilities of 5G networks to the end-users' quality of …

In-situ model downloading to realize versatile edge AI in 6G mobile networks

K Huang, H Wu, Z Liu, X Qi - IEEE Wireless Communications, 2023 - ieeexplore.ieee.org
The sixth-generation (6G) mobile networks are expected to feature the ubiquitous
deployment of machine learning and artificial intelligence (AI) algorithms at the network …

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 …

Machine learning for smart environments in B5G networks: Connectivity and QoS

SH Alsamhi, FA Almalki, H Al-Dois… - Computational …, 2021 - Wiley Online Library
The number of Internet of Things (IoT) devices to be connected via the Internet is
overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and …

A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions

HN Fakhouri, S Alawadi, FM Awaysheh, IB Hani… - Electronics, 2023 - mdpi.com
Fifth-generation (5G) mobile networks have already marked their presence globally,
revolutionizing entertainment, business, healthcare, and other domains. While this leap …

Agent-based modeling and simulation for 5G and beyond networks: A comprehensive survey

J Shakya, C Ghribi, L Merghem-Boulahia - Simulation Modelling Practice …, 2023 - Elsevier
Modeling and simulation of telecommunication networks have captivated significant inter-
disciplinary attention, notably since the release of the fifth-generation (5G) technology and …

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 …

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 …