[HTML][HTML] DQN-GNN-Based User Association Approach for Wireless Networks
I Alablani, MJF Alenazi - Mathematics, 2023 - mdpi.com
In the realm of advanced mobile networks, such as the fifth generation (5G) and beyond, the
increasing complexity and proliferation of devices and unique applications present a …
increasing complexity and proliferation of devices and unique applications present a …
Deep learning based user association in heterogeneous wireless networks
Y Zhang, L Xiong, J Yu - IEEE Access, 2020 - ieeexplore.ieee.org
Due to the high splitting-gain of dense small cells, Ultra-Dense Network (UDN) is widely
regarded as a promising networking technology to achieve high data rate and low latency in …
regarded as a promising networking technology to achieve high data rate and low latency in …
[HTML][HTML] Distributed user-to-multiple access points association through deep learning for beyond 5G
Future wireless networks will be facing unprecedented difficulties arising from mobile traffic
growth, network densification, as well as diversification of applications and services. Indeed …
growth, network densification, as well as diversification of applications and services. Indeed …
Deep Reinforcement Learning and Graph Neural Networks for Efficient Resource Allocation in 5G Networks
M Randall, P Belzarena, F Larroca… - 2022 IEEE Latin …, 2022 - ieeexplore.ieee.org
The increased sophistication of mobile networks such as 5G and beyond, and the plethora
of devices and novel use cases to be supported by these networks, make of the already …
of devices and novel use cases to be supported by these networks, make of the already …
GROWS: Improving decentralized resource allocation in wireless networks through graph neural networks
M Randall, P Belzarena, F Larroca… - Proceedings of the 1st …, 2022 - dl.acm.org
Wireless networks have progressed exponentially over the last decade, and modern
wireless networking is today a complex to manage tangle, serving an ever-growing number …
wireless networking is today a complex to manage tangle, serving an ever-growing number …
Deep recurrent reinforcement learning for partially observable user association in a vertical heterogenous network
H Khoshkbari, G Kaddoum - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
To ensure ubiquitous connectivity and meet increasing users' demands in next-generation
wireless networks, we investigate user association in a three-layer network consisting of a …
wireless networks, we investigate user association in a three-layer network consisting of a …
Deep Q-network for user association in heterogeneous cellular networks
N Zhao, X He, M Wu, P Fan, M Fan, C Tian - Complex, Intelligent, and …, 2019 - Springer
Heterogeneous networks (HetNets) balance the traffic load and reduce the cost of cell
deployment, which is considered as a promising technology in next generation cellular …
deployment, which is considered as a promising technology in next generation cellular …
A reinforcement learning based user association algorithm for UAV networks
There have been increasing interests in employing unmanned aerial vehicles (UAVs) such
as drones for telecommunication purpose. In such networks, UAVs act as base stations and …
as drones for telecommunication purpose. In such networks, UAVs act as base stations and …
User association in 5G networks: A survey and an outlook
The fifth generation (5G) mobile networks are envisioned to support the deluge of data traffic
with reduced energy consumption and improved quality of service (QoS) provision. To this …
with reduced energy consumption and improved quality of service (QoS) provision. To this …
Towards an Energy-Efficient DQN-based User Association in Sub6GHz/mmWave Integrated Networks
This work investigates the design of a sustainable Deep Q-Network (DQN) implemented at
the user device, whose purpose is to optimize the user's association to multiple access …
the user device, whose purpose is to optimize the user's association to multiple access …