[PDF][PDF] Machine and deep learning algorithms for radio resource management in 5G and beyond networks

I Bartsiokas - 2023 - dspace.lib.ntua.gr
Abstract Fifth-generation (5G) and beyond (B5G) wireless communications systems have
been established to support the exponential growth rate of mobile data traffic and dense …

Machine and deep learning algorithms for radio resource management in 5G and beyond networks

I Bartiokas - 2023 - didaktorika.gr
Fifth-generation (5G) and beyond (B5G) wireless communications systems have been
established to support the exponential growth rate of mobile data traffic and dense user …

ML-based radio resource management in 5G and beyond networks: A survey

IA Bartsiokas, PK Gkonis, DI Kaklamani… - IEEE Access, 2022 - ieeexplore.ieee.org
In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …

[PDF][PDF] ML-based Radio Resource Management in 5G and Beyond Networks: A survey

Ι ΜΠΑΡΤΣΙΩΚΑΣ - 2023 - dspace.lib.ntua.gr
In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …

Performance evaluation and design of ML-based solutions for the support of mobile services in 5G systems

T Javadzadeh - 2021 - webthesis.biblio.polito.it
The vision of the fifth generation of mobile networks (5G) lies in bringing enhanced
performances with respect to the previous mobile technologies. 5G has been planned to …

AI-based radio resource allocation in support of the massive heterogeneity of 6G networks

A Alwarafy, A Albaseer, BS Ciftler… - 2021 IEEE 4th 5G …, 2021 - ieeexplore.ieee.org
There is a consensus in industry and academia that 6G wireless networks will incorporate
massive heterogeneous radio access technologies (RATs) in order to cater to the high …

Deep reinforcement learning for radio resource allocation and management in next generation heterogeneous wireless networks: A survey

A Alwarafy, M Abdallah, BS Ciftler, A Al-Fuqaha… - arXiv preprint arXiv …, 2021 - arxiv.org
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …

Machine learning-enabled radio resource management for next-generation wireless networks

M Elsayed - 2021 - ruor.uottawa.ca
A new era of wireless networks is evolving, thanks to the significant advances in
communications and networking technologies. In parallel, wireless services are witnessing a …

Learning radio resource management in RANs: Framework, opportunities, and challenges

FD Calabrese, L Wang, E Ghadimi… - IEEE …, 2018 - ieeexplore.ieee.org
In the fifth generation (5G) of mobile broadband systems, radio resource management
(RRM) will reach unprecedented levels of complexity. To cope with the ever more …

Deep Reinforcement Learning for Downlink Scheduling in 5G and Beyond Networks: A Review

M Seguin, A Omer, M Koosha… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
The coexistence of a wide variety of different applications with diverse Quality of Service
(QoS) and Quality of Experience (QoE) requirements calls for more sophisticated radio …