[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 …
Knowledge-Driven Resource Allocation for Wireless Networks: A WMMSE Unrolled Graph Neural Network Approach
This article proposes a novel knowledge-driven approach for resource allocation in wireless
networks using the graph neural network (GNN) architecture. To meet the millisecond-level …
networks using the graph neural network (GNN) architecture. To meet the millisecond-level …
Machine learning for physical layer in 5G and beyond wireless networks: A survey
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
Artificial intelligence for 5g wireless systems: Opportunities, challenges, and future research direction
The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …
Deep reinforcement learning for mobile 5G and beyond: Fundamentals, applications, and challenges
Future-generation wireless networks (5G and beyond) must accommodate surging growth in
mobile data traffic and support an increasingly high density of mobile users involving a …
mobile data traffic and support an increasingly high density of mobile users involving a …
On big data analytics for greener and softer RAN
Big data analytics applied to signaling, traffic, and wireless environment data in mobile
communication networks can help realize autonomous network optimization and build big …
communication networks can help realize autonomous network optimization and build big …
Artificial-intelligence-enabled intelligent 6G networks
With the rapid development of smart terminals and infrastructures, as well as diversified
applications (eg, virtual and augmented reality, remote surgery and holographic projection) …
applications (eg, virtual and augmented reality, remote surgery and holographic projection) …
ML/AI Empowered 5G and beyond Networks
M Al-Khafaji, L Elwiya - 2022 International Congress on Human …, 2022 - ieeexplore.ieee.org
The emergence of wireless communication systems heralds the development of new
technologies such as virtual reality, autonomous vehicles, Internet of things, autonomous …
technologies such as virtual reality, autonomous vehicles, Internet of things, autonomous …
Intelligent decision making framework for 6G network
Sixth Generation (6G) wireless communication network has been expected to provide global
coverage, enhanced spectral efficiency, and AI (Artificial Intelligence)-native intelligence …
coverage, enhanced spectral efficiency, and AI (Artificial Intelligence)-native intelligence …
Optimizing wireless systems using unsupervised and reinforced-unsupervised deep learning
Resource allocation and transceivers in wireless networks are usually designed by solving
optimization problems subject to specific constraints, which can be formulated as variable or …
optimization problems subject to specific constraints, which can be formulated as variable or …