[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-based user association in sub6GHz/mmWave integrated networks
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 …
beamforming in an integrated sub-6GHz/mmWave system. The goal is to maximize the long …
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 …
Leveraging Machine Learning Techniques towards Intelligent Networking Automation
CA Gomez - 2021 - search.proquest.com
In this thesis, we address some of the challenges that the Intelligent Networking Automation
(INA) paradigm poses. Our goal is to design schemes leveraging Machine Learning (ML) …
(INA) paradigm poses. Our goal is to design schemes leveraging Machine Learning (ML) …