An interference-oriented 5G radio resource allocation framework for ultradense networks

T Peng, Y Guo, Y Wang, G Chen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
To cope with the explosive growth in demands of wireless network, ultradense network
(UDN) technology is widely adopted, which could increase the capacity of wireless network …

Dynamic RAT selection and pricing for efficient traffic allocation in 5G HetNets

V Passas, V Miliotis, N Makris… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
In this paper, we focus on 5G heterogeneous networks, considering the existence of multiple
Distributed Units (DUs) that can provide access to end users implementing several access …

Coordinated framework for spectrum allocation and user association in 5G HetNets with mmWave

K Khawam, S Lahoud, M El Helou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Dense deployment of small cells operating on different frequency bands based on multiple
technologies provides a fundamental way to face the imminent thousand-fold traffic …

Towards low latency in 5G HetNets: A Bayesian cell selection/user association approach

M Elkourdi, A Mazin, RD Gitlin - 2018 IEEE 5G World Forum …, 2018 - ieeexplore.ieee.org
Expanding the cellular ecosystem to support an immense number of connected devices and
creating a platform that accommodates a wide range of emerging services of different traffic …

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 …

An efficient resource allocation algorithm for heterogeneous wireless networks

TE Mathonsi, TM Tshilongamulenzhe… - … Open Innovations (OI …, 2019 - ieeexplore.ieee.org
The progressive adaptability of today's mobile communication services and the prompt
progressions in the mobile phones industry have steered to a remarkable development in …

Deep reinforcement learning aided cell outage compensation framework in 5G cloud radio access networks

P Yu, X Yang, F Zhou, H Li, L Feng, W Li… - Mobile Networks and …, 2020 - Springer
As one of the key technologies of 5G, Cloud Radio Access Networks (C-RAN) with cloud
BBUs (Base Band Units) pool architecture and distributed RRHs (Remote Radio Heads) can …

AI based network and radio resource management in 5G HetNets

G Bartoli, D Marabissi, R Pucci, LS Ronga - Journal of Signal Processing …, 2017 - Springer
The demand for pervasive wireless access and high data rate services are expected to grow
significantly in the near future. In this context, the deployment of Heterogeneous Networks …

Federated deep reinforcement learning for user access control in open radio access networks

Y Cao, SY Lien, YC Liang… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
The Open Radio Access Network (O-RAN) introducing a particular unit known as RAN
Intelligent Controllers (RICs) has been regarded as revolutionary paradigms to support …

Engnn: A general edge-update empowered gnn architecture for radio resource management in wireless networks

Y Wang, Y Li, Q Shi, YC Wu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
In order to achieve high data rate and ubiquitous connectivity in future wireless networks, a
key task is to efficiently manage the radio resource by judicious beamforming and power …