Energy-efficient user association in mmWave/THz ultra-dense network via multi-agent deep reinforcement learning

J Moon, S Kim, H Ju, B Shim - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
As a key enabler for 5G and 6G wireless communications, millimeter-wave (mmWave) and
terahertz (THz) ultra-dense network (UDN) has received a great deal of attention recently …

User-centric association in ultra-dense mmWave networks via deep reinforcement learning

Q Xue, Y Sun, J Wang, G Feng… - IEEE Communications …, 2021 - ieeexplore.ieee.org
For ultra-dense networks, user-centric architecture is regarded as a promising candidate to
offer mobile users better quality of service. One of the main challenges of user-centric …

Deep reinforcement learning-based user association in sub6GHz/mmWave integrated networks

THL Dinh, M Kaneko, K Wakao… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
In this work, we investigate the problem of joint user-to-access points (AP) association and
beamforming in an integrated sub-6GHz/mmWave system. The goal is to maximize the long …

User association and power allocation based on unsupervised graph model in ultra-dense network

K Hou, Q Xu, X Zhang, Y Huang… - 2021 IEEE wireless …, 2021 - ieeexplore.ieee.org
Ultra-Dense Network (UDN) has become a key technology in 5G communication systems.
By deploying low power micro base stations (BSs) densely and flexibly to reduce the …

Beam management in ultra-dense mmWave network via federated reinforcement learning: An intelligent and secure approach

Q Xue, YJ Liu, Y Sun, J Wang, L Yan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deploying ultra-dense networks that operate on millimeter wave (mmWave) band is a
promising way to address the tremendous growth on mobile data traffic. However, one key …

Online learning-based downlink transmission coordination in ultra-dense millimeter wave heterogeneous networks

R Kim, Y Kim, NY Yu, SJ Kim… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In heterogeneous ultra-dense networks with millimeter wave macro cells and small cells,
base stations (BSs) and mobile user equipments (UEs) perform beamforming operations to …

Machine learning inspired codeword selection for dual connectivity in 5G user-centric ultra-dense networks

Y Yang, X Deng, D He, Y You… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In future 5G user-centric ultra-dense networks (UUDN), demands of high data rate and high
spectrum efficiency are effectively met by dual connectivity (DC) technology. However, due …

Joint user association and power allocation in heterogeneous ultra dense network via semi-supervised representation learning

X Zhang, Z Zhang, L Yang - arXiv preprint arXiv:2103.15367, 2021 - arxiv.org
Heterogeneous Ultra-Dense Network (HUDN) is one of the vital networking architectures
due to its ability to enable higher connectivity density and ultra-high data rates. Rational user …

Energy efficient user association and power allocation in millimeter-wave-based ultra dense networks with energy harvesting base stations

H Zhang, S Huang, C Jiang, K Long… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication technologies have recently emerged as an
attractive solution to meet the exponentially increasing demand on mobile data traffic …

Cluster-based energy-efficient joint user association and resource allocation for B5G ultra-dense network

L Zhu, L Yang, Q Zhang, T Zhou, J Hua - Physical Communication, 2021 - Elsevier
Control and user plane split (CUPS) aided ultra-dense network (UDN) is considered as a
promising technology in the fifth generation (5G) networks and will undoubtedly develop in …