Accordion: A communication-aware machine learning framework for next generation networks
F Ayed, A De Domenico… - IEEE …, 2023 - ieeexplore.ieee.org
In this article, we advocate for the design of ad hoc artificial intelligence (AI)/machine
learning (ML) models to facilitate their usage in future smart infrastructures based on …
learning (ML) models to facilitate their usage in future smart infrastructures based on …
Usage of network simulators in machine-learning-assisted 5G/6G networks
Without any doubt, Machine Learning (ML) will be an important driver of future
communications due to its foreseen performance when applied to complex problems …
communications due to its foreseen performance when applied to complex problems …
A flexible machine-learning-aware architecture for future WLANs
F Wilhelmi, S Barrachina-Muñoz… - IEEE …, 2020 - ieeexplore.ieee.org
Lots of hopes have been placed on machine learning (ML) as a key enabler of future
wireless networks. By taking advantage of large volumes of data, ML is expected to deal with …
wireless networks. By taking advantage of large volumes of data, ML is expected to deal with …
The Hexa-X project vision on Artificial Intelligence and Machine Learning-driven Communication and Computation co-design for 6G
This paper provides an overview of the most recent advancements and outcomes of the
European 6G flagship project Hexa-X, on the topic of in-network Artificial Intelligence (AI) …
European 6G flagship project Hexa-X, on the topic of in-network Artificial Intelligence (AI) …
Next generation mobile networks' enablers: Machine learning-assisted mobility, traffic, and radio channel prediction
Machine learning (ML) is an important component for enabling automation in radio access
networks (RANs). The work on applying ML for RAN has been under development for …
networks (RANs). The work on applying ML for RAN has been under development for …
A Joint Industrial-Network Simulator for Leveraging Automation in 5G Private Networks
The combination of emerging industrial technologies and 5G communication networks will
enable new exciting applications, such as human-robot interaction, collaborative robots and …
enable new exciting applications, such as human-robot interaction, collaborative robots and …
Large generative ai models for telecom: The next big thing?
The evolution of generative artificial intelligence (GenAI) constitutes a turning point in
reshaping the future of technology in different aspects. Wireless networks in particular, with …
reshaping the future of technology in different aspects. Wireless networks in particular, with …
Toward native artificial intelligence in 6G networks: System design, architectures, and paradigms
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 …
support digital demands from all industry sectors, and 6G is envisioned to go far beyond the …
[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
In-situ model downloading to realize versatile edge AI in 6G mobile networks
The sixth-generation (6G) mobile networks are expected to feature the ubiquitous
deployment of machine learning and artificial intelligence (AI) algorithms at the network …
deployment of machine learning and artificial intelligence (AI) algorithms at the network …