Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey
NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …
technology and machine learning (ML), where intelligent networks can provide pervasive …
Domain generalization in machine learning models for wireless communications: Concepts, state-of-the-art, and open issues
Data-driven machine learning (ML) is promoted as one potential technology to be used in
next-generation wireless systems. This led to a large body of research work that applies ML …
next-generation wireless systems. This led to a large body of research work that applies ML …
Energy efficient AP selection for cell-free massive MIMO systems: Deep reinforcement learning approach
The problem of access point (AP) to device association in a cell-free massive multiple-input
multiple-output (MIMO) system is investigated. Utilizing energy efficiency (EE) as our main …
multiple-output (MIMO) system is investigated. Utilizing energy efficiency (EE) as our main …
Energy efficient beamforming for small cell systems: A distributed learning and multicell coordination approach
The integration of small cell architecture and edge intelligence is expected to make high-
grade mobile connectivity accessible and thus provide smart and efficient services for …
grade mobile connectivity accessible and thus provide smart and efficient services for …
A distributed machine learning-based approach for IRS-enhanced cell-free MIMO networks
In cell-free multiple input multiple output (MIMO) networks, multiple base stations (BSs)
collaborate to achieve high spectral efficiency. Nevertheless, high penetration loss due to …
collaborate to achieve high spectral efficiency. Nevertheless, high penetration loss due to …
Enabling fully-decoupled radio access with elastic resource allocation
Recently, an origin fully-decoupled radio access network (FD-RAN) inspired by
neurotransmission has been proposed for B5G/6G mobile communication networks, which …
neurotransmission has been proposed for B5G/6G mobile communication networks, which …
Cell-free networking for integrated data and energy transfer: Digital twin based double parameterized dqn for energy sustainability
Cell-free networking enables full cooperation among distributed access points (APs). This
paper focuses on reducing the long-term energy consumption of a cell-free network in the …
paper focuses on reducing the long-term energy consumption of a cell-free network in the …
Access point clustering in cell-free massive MIMO using conventional and federated multi-agent reinforcement learning
B Banerjee, RC Elliott, WA Krzymieñ… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Cell-free massive multiple-input multiple-output (MIMO) systems consist of geographically-
distributed multi-antenna access points (APs) that form a virtual massive MIMO array. To …
distributed multi-antenna access points (APs) that form a virtual massive MIMO array. To …
Attention-Aided Autoencoder-Based Channel Prediction for Intelligent Reflecting Surface-Assisted Millimeter-Wave Communications
HY Chen, MH Wu, TW Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Sixth-generation (6G) wireless communication networks will provide larger coverage and
capacity with lower energy consumption and hardware costs than 5G. Intelligent reflecting …
capacity with lower energy consumption and hardware costs than 5G. Intelligent reflecting …
Design and Performance Analyses of V-OFDM Integrated Signal for Cell-Free Massive MIMO Joint Communication and Radar System
Y Cao, QY Yu - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Cell-free massive multiple-input–multiple-output (MIMO) network is appealing since the
distributed architecture provides spatial diversity to reduce the large-scale fading effect …
distributed architecture provides spatial diversity to reduce the large-scale fading effect …