Joint optimization of resource allocation and user association in multi-frequency cellular networks assisted by RIS

Y Qiao, Y Niu, Z Han, S Mao, R He… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Due to the development of communication technology and the rise of user network demand,
a reasonable resource allocation for wireless networks is the key to guaranteeing regular …

User Association and Power Allocation in Multi-Connectivity Enabled Millimeter-Wave Networks with Limited Backhaul

M Wang, J Wang, Y Kai, F Xia… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication has been recognized as a key technology to
improve the rate performance of the next-generation wireless networks. However, the …

Unsupervised deep learning approach for near optimal power allocation in CRAN

M Labana, W Hamouda - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
The cloud radio access network (CRAN) is a promising architecture that can face the hard
challenges imposed on next cellular generations. However, the high computational …

Approaching centralized multi-cell coordinated beamforming with limited backhaul signaling

T Cai, S Ge, Y Xu, TH Chang - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
Decentralized multi-cell coordinated beamforming (D-MCBF) is a promising technique to
improve the system spectral efficiency, but it usually requires the base stations (BSs) to …

Joint user association and spectrum allocation in satellite-terrestrial integrated networks

W Qiu, A Liu, C Han, A Lu - IEICE Transactions on …, 2022 - search.ieice.org
This paper investigates the joint problem of user association and spectrum allocation in
satellite-terrestrial integrated networks (STINs), where a low earth orbit (LEO) satellite …

Development of deep reinforcement learning based resource allocation techniques in cloud radio access network

I Amjad - 2022 - eprints.utar.edu.my
Nextgeneration networks are envisioned to support management to maximize the user s'
dynamic and agile network quality of service (QoS). Cloud radio access network (CRAN) …

Unsupervised deep learning for power allocation in CRAN

M Labana, W Hamouda - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
The cloud radio access network (CRAN) is considered a very promising architecture for the
next generation cellular networks. However, in order to fully utilize the advantages of that …

Estratégia Conjunta para Associação de Usuários e Alocação de Recursos em Redes Móveis de Próxima Geração

M Alves, G Broechl, L Loyolla, W Junior… - … em Desempenho de …, 2024 - sol.sbc.org.br
Este estudo apresenta uma abordagem baseada em Aprendizagem por Reforço (AR) para
otimizar a orquestração dos mecanismos User Association and Resource Allocation (UARA) …

Resource Optimization via Markov Approximation in Cloud Radio Access Networks

S Zhang, J Li, Q Yang, KS Kwak… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
In this paper, we investigate the joint user association and resource allocation problem in
the downlink of cloud radio access networks (CRAN). The central cloud performs the …

Performance Optimization of Cloud Radio Access Networks

M Labana - 2021 - spectrum.library.concordia.ca
The exponential growth of cellular data traffic over the years imposes a hard challenge on
the next cellular generations. The cloud radio access network (CRAN) is an emerging …