Users first: A robust two-level learning of power control in uplink ultra-dense HetNets
M Makhanbet, T Lv - IEEE Access, 2020 - ieeexplore.ieee.org
In this article, power control of uplink connection in the ultra-dense heterogeneous networks
(HetNets), which are studied as different types of access points (APs), is investigated. It is …
(HetNets), which are studied as different types of access points (APs), is investigated. It is …
A fully distributed and clustered learning of power control in user-centric ultra-dense HetNets
In this paper, we investigate a power control of uplink connection in the user-centric ultra-
dense heterogeneous networks (HetNets), which are studied as different types of access …
dense heterogeneous networks (HetNets), which are studied as different types of access …
An interference-aware uplink power control in LTE heterogeneous networks
K Sun, Y Yan, W Zhang, Y Wei - TENCON 2018-2018 IEEE …, 2018 - ieeexplore.ieee.org
In order to meet the needs of public's communication, a large number of low-power nodes
will be added to mobile network and the Heterogeneous Network (HetNet) will be formed …
will be added to mobile network and the Heterogeneous Network (HetNet) will be formed …
Energy efficient user association and power control for dense heterogeneous networks
Dense heterogeneous network (HetNet) is a promising solution to satisfy the unprecedented
demand for higher data rate and energy efficiency in the next generation mobile networks. In …
demand for higher data rate and energy efficiency in the next generation mobile networks. In …
A DDPG-based Transfer Learning Optimization Framework for User Association and Power Control in HetNet
Z Li, X Wen, Z Lu, W Jing - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) has been a useful technique for achieving resource
management in the heterogeneous network (HetNet), such as user association and power …
management in the heterogeneous network (HetNet), such as user association and power …
Distributed-training-and-execution multi-agent reinforcement learning for power control in HetNet
In heterogeneous networks (HetNets), the overlap of small cells and the macro cell causes
severe cross-tier interference. Although there exist some approaches to address this …
severe cross-tier interference. Although there exist some approaches to address this …
Reinforcement learning for self organization and power control of two-tier heterogeneous networks
R Amiri, MA Almasi, JG Andrews… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-organizing networks (SONs) can help to manage the severe interference in dense
heterogeneous networks (HetNets). Given their need to automatically configure power and …
heterogeneous networks (HetNets). Given their need to automatically configure power and …
Reinforcement Learning Based Power Allocation for 6G Heterogenous Networks
Heterogeneous networks (HetNets) play a crucial role in the context of 6G cellular networks,
serving as a significant enabler for enhanced capacity and coverage. Nevertheless, the …
serving as a significant enabler for enhanced capacity and coverage. Nevertheless, the …
Uplink Power Control of the DUDE Mode in HetNets
K Sun, J Wu, X Sun, W Huang - 2018 IEEE 4th International …, 2018 - ieeexplore.ieee.org
As current cellular networks are becoming increasingly heterogeneous, traditional cell
association rule based on the maximum downlink received power no longer serves well …
association rule based on the maximum downlink received power no longer serves well …
Deep Reinforcement Learning for Energy-Efficient Power Control in Heterogeneous Networks
J Peng, J Zheng, L Zhang… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
In a typical heterogeneous network (HetNet), in which a macro base station (BS) and
multiple small BSs coexist on the same spectrum band, energy-efficiency (EE) performance …
multiple small BSs coexist on the same spectrum band, energy-efficiency (EE) performance …