A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …
services to the users with the help of innovative network and device technologies. In recent …
A survey on model-based, heuristic, and machine learning optimization approaches in RIS-aided wireless networks
Reconfigurable intelligent surfaces (RISs) have received considerable attention as a key
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
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 …
A survey on machine learning techniques for massive MIMO configurations: Application areas, performance limitations and future challenges
PK Gkonis - IEEE Access, 2022 - ieeexplore.ieee.org
The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled
the support of highly demanding applications, paving the way towards global broadband …
the support of highly demanding applications, paving the way towards global broadband …
Quantum-assisted combinatorial optimization for reconfigurable intelligent surfaces in smart electromagnetic environments
We have recently seen a surge in interest in leveraging reconfigurable intelligent surfaces in
smart radio environments. One critical question is how to efficiently optimize the phase …
smart radio environments. One critical question is how to efficiently optimize the phase …
Heuristic algorithms for RIS-assisted wireless networks: Exploring heuristic-aided machine learning
Reconfigurable intelligent surfaces (RISs) are a promising technology to enable smart radio
environments. However, integrating RISs into wireless networks also leads to substantial …
environments. However, integrating RISs into wireless networks also leads to substantial …
Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges
Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …
popularity of wireless services worldwide. With the advancement in technology, profound …
AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business
S Kumar - Big Data Mining and Analytics, 2024 - ieeexplore.ieee.org
Open Air Interface (OAI) alliance recently introduced a new disaggregated Open Radio
Access Networks (O-RAN) framework for next generation telecommunications and networks …
Access Networks (O-RAN) framework for next generation telecommunications and networks …
IRS-user association in IRS-aided MISO wireless networks: Convex optimization and machine learning approaches
This article concentrates on the problem of associating an intelligent reflecting surface (IRS)
to multiple users in a multiple-input single-output (MISO) downlink wireless communication …
to multiple users in a multiple-input single-output (MISO) downlink wireless communication …
Research Trends in the Use of Machine Learning Applied in Mobile Networks: A Bibliometric Approach and Research Agenda
This article aims to examine the research trends in the development of mobile networks from
machine learning. The methodological approach starts from an analysis of 260 academic …
machine learning. The methodological approach starts from an analysis of 260 academic …