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 …
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 …
Artificial intelligence for 6G networks: Technology advancement and standardization
With the deployment of 5G networks, standards organizations have started working on the
design phase for 6G networks. 6G networks will be immensely complex, requiring more …
design phase for 6G networks. 6G networks will be immensely complex, requiring more …
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 …
makes mobile technology very popular among users. Due to this popularity, there has been …
[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 …
Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …
a key enabler and a leading infrastructure provider in the information and communication …
Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
6G white paper on machine learning in wireless communication networks
The focus of this white paper is on machine learning (ML) in wireless communications. 6G
wireless communication networks will be the backbone of the digital transformation of …
wireless communication networks will be the backbone of the digital transformation of …
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 …