Deep learning (DL) based joint resource allocation and RRH association in 5G-multi-tier networks

S Ali, A Haider, M Rahman, M Sohail, YB Zikria - IEEE Access, 2021 - ieeexplore.ieee.org
Fifth-Generation (5G) networks have adopted a multi-tier structural model which includes
femtocells, picocells, and macrocells to ensure the user quality-of-service (QoS). To meet …

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 …

Joint RRH-association, sub-channel assignment and power allocation in multi-tier 5G C-RANs

S Ali, A Ahmad, R Iqbal, S Saleem, T Umer - IEEE Access, 2018 - ieeexplore.ieee.org
Multi-tier cloud-radio access networks (C-RANs) have been suggested as a promising
network model in fifth generation wireless networks to provide high data rate, high spectral …

Deep learning for radio resource allocation with diverse quality-of-service requirements in 5G

R Dong, C She, W Hardjawana, Y Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
To accommodate diverse Quality-of-Service (QoS) requirements in 5th generation cellular
networks, base stations need real-time optimization of radio resources in time-varying …

A deep-learning-based radio resource assignment technique for 5G ultra dense networks

Y Zhou, ZM Fadlullah, B Mao, N Kato - IEEE Network, 2018 - ieeexplore.ieee.org
Recently, deep learning has emerged as a state-of-the-art machine learning technique with
promising potential to drive significant breakthroughs in a wide range of research areas. The …

Quality of service‐aware adaptive radio resource management based on deep federated Q‐learning for multi‐access edge computing in beyond 5G cloud‐radio …

N Kumar, A Ahmad - Transactions on Emerging …, 2023 - Wiley Online Library
Due to the exponential increase of mobile data services, both industry and academia have
turned their focus for improving the quality of service (QoS) provisioning for the beyond 5G …

Resource allocation for joint energy and spectral efficiency in cloud radio access network based on deep reinforcement learning

A Iqbal, ML Tham, YC Chang - Transactions on Emerging …, 2022 - Wiley Online Library
The rapid increase of user data traffic demand has promoted the telecommunication sector
toward adopting a new generation, that is, fifth‐generation (5G). Cloud radio access network …

Deep reinforcement learning for resource allocation in 5G communications

ML Tham, A Iqbal, YC Chang - 2019 Asia-Pacific Signal and …, 2019 - ieeexplore.ieee.org
The rapid growth of data traffic has pushed the mobile telecommunication industry towards
the adoption of fifth generation (5G) communications. Cloud radio access network (CRAN) …

Double deep Q-network-based energy-efficient resource allocation in cloud radio access network

A Iqbal, ML Tham, YC Chang - IEEE Access, 2021 - ieeexplore.ieee.org
Cloud radio access network (CRAN) has been shown as an effective means to boost
network performance. Such gain stems from the intelligent management of remote radio …

An optimal multitier resource allocation of cloud RAN in 5G using machine learning

AK Bashir, R Arul, S Basheer, G Raja… - Transactions on …, 2019 - Wiley Online Library
The networks are evolving drastically since last few years in order to meet user
requirements. For example, the 5G is offering most of the available spectrum under one …