[HTML][HTML] Machine learning aided scheme for load balancing in dense IoT networks

CA Gomez, A Shami, X Wang - Sensors, 2018 - mdpi.com
With the dramatic increase of connected devices, the Internet of things (IoT) paradigm has
become an important solution in supporting dense scenarios such as smart cities. The …

[HTML][HTML] Distributed user-to-multiple access points association through deep learning for beyond 5G

THL Dinh, M Kaneko, K Wakao, K Kawamura… - Computer Networks, 2021 - Elsevier
Future wireless networks will be facing unprecedented difficulties arising from mobile traffic
growth, network densification, as well as diversification of applications and services. Indeed …

Online reinforcement learning for adaptive interference coordination

JJ Alcaraz, JA Ayala‐Romero… - Transactions on …, 2020 - Wiley Online Library
Heterogeneous networks (HetNets), in which small cells overlay macro cells, are a cost‐
effective approach to increase the capacity of cellular networks. However, HetNets have …

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 …

Device selection and beamforming optimization in large-scale mmWave IoT networks

THL Dinh, M Kaneko, K Fujii - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The joint provision of higher data rates and massive Internet of Things (IoT) connectivity has
been identified as one of the key milestones toward beyond 5G (B5G). To this end, we …

Reinforcement learning-aided distributed user-to-access points association in interfering networks

THL Dinh, M Kaneko, K Wakao… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
In future wireless networks, more and more users will be requiring various applications
provided by multiple wireless interfaces simultaneously. This poses significant challenges …

An assessment of different user–BS association policies for green HetNets in off‐grid environments

LA Fletscher, JM Maestre… - Transactions on …, 2017 - Wiley Online Library
Previous research has shown the relationship between the number of users connected to a
cellular network base station (BS) and its energy consumption. For this reason, the study of …

Game-theoretic learning for sensor reliability evaluation without knowledge of the ground truth

A Yazidi, HL Hammer, K Samouylov… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Sensor fusion has attracted a lot of research attention during the few last years. Recently, a
new research direction has emerged dealing with sensor fusion without knowledge of the …

Towards an Energy-Efficient DQN-based User Association in Sub6GHz/mmWave Integrated Networks

THL Dinh, M Kaneko, K Wakao… - … on Mobility, Sensing …, 2021 - ieeexplore.ieee.org
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 …

Atomicity and non-anonymity in population-like games for the energy efficiency of hybrid-power HetNets

LA Fletscher, J Barreiro-Gomez… - … on Network and …, 2018 - ieeexplore.ieee.org
In this paper, the user-base station association problem is addressed to reduce grid
consumption in heterogeneous cellular networks powered by hybrid energy sources (grid …