Machine learning meets communication networks: Current trends and future challenges

I Ahmad, S Shahabuddin, H Malik, E Harjula… - IEEE …, 2020 - ieeexplore.ieee.org
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

Target Tracking Area Selection and Handover Security in Cellular Networks: A Machine Learning Approach

VO Nyangaresi - Proceedings of Third International Conference on …, 2023 - Springer
Abstract The 3rd Generation Partnership Project (3GPP) has specified the 5G Authentication
and Key Agreement (5G AKA) protocol for handover authentication. However, this protocol is …

Whittle index based Q-learning for restless bandits with average reward

KE Avrachenkov, VS Borkar - Automatica, 2022 - Elsevier
A novel reinforcement learning algorithm is introduced for multiarmed restless bandits with
average reward, using the paradigms of Q-learning and Whittle index. Specifically, we …

Edge-centric bandit learning for task-offloading allocations in multi-RAT heterogeneous networks

B Wu, T Chen, K Yang, X Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The exponential growth of data traffic from mobile devices leads to a need of heterogeneous
networks (HetNets) which integrate multiple radio access technologies (multi-RATs) to …

Online reinforcement learning of optimal threshold policies for Markov decision processes

A Roy, V Borkar, A Karandikar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To overcome the curses of dimensionality and modeling of dynamic programming methods
to solve Markov decision process problems, reinforcement learning (RL) methods are …

Automatic handover execution technique using machine learning algorithm for heterogeneous wireless networks

N Nayakwadi, R Fatima - International Journal of Information Technology, 2021 - Springer
Integrating LTE sub-6 GHz and millimeter wave (mmWave) bands brings great benefit in
increasing communication bandwidth, reliability, and better coverage of future smart …

Online radio access technology selection algorithms in a 5g multi-rat network

A Roy, P Chaporkar, A Karandikar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In today's wireless networks, a variety of Radio Access Technologies (RATs) are present.
However, each RAT being controlled individually leads to suboptimal utilization of network …

Who-is: Wireless hetnet optimization using impact selection

T Sandholm, I Macaluso, S Mukherjee - arXiv preprint arXiv:2306.03049, 2023 - arxiv.org
We propose a method to first identify users who have the most negative impact on the
overall network performance, and then offload them to an orthogonal channel. The feasibility …

A learning algorithm for the whittle index policy for scheduling web crawlers

K Avrachenkov, VS Borkar - 2019 57th Annual Allerton …, 2019 - ieeexplore.ieee.org
We revisit the Whittle index policy for scheduling web crawlers for ephemeral content
proposed in Avrachenkov and Borkar, IEEE Trans. Control of Network Systems 5 (1), 2016 …

[PDF][PDF] Quality of experience aware network selection model for service provisioning in heterogeneous network

N Gadde, B Jakkali, RBH Siddamallaih… - International Journal of …, 2022 - academia.edu
Heterogeneous wireless networks (HWNs) are capable of integrating the different radio
access technologies that make it possible to connect mobile users based on the …