A reinforcement learning based data storage and traffic management in information-centric data center networks

W Yang, Y Qin, ZZ Yang - Mobile Networks and Applications, 2022 - Springer
Abstract Data Center Networks (DCN), a core infrastructure of cloud computing, place heavy
demands on efficient storage and management of massive data. The data storage scheme …

A cooperative Q-learning approach for distributed resource allocation in multi-user femtocell networks

H Saad, A Mohamed, T ElBatt - 2014 IEEE Wireless …, 2014 - ieeexplore.ieee.org
This paper studies distributed interference management for femtocells that share the same
frequency band with macrocells. We propose a multi-agent learning technique based on …

A docitive Q‐learning approach towards joint resource allocation and power control in self‐organised femtocell networks

A Shahid, S Aslam, HS Kim… - Transactions on Emerging …, 2015 - Wiley Online Library
Femtocell is a technology that contributes towards the escalation of coverage as well as
throughput. By virtue of uncertain deployment of femtocells, self‐organisation is a viable …

A cooperative Q-learning approach for online power allocation in femtocell networks

H Saad, A Mohamed, T ElBatt - 2013 IEEE 78th Vehicular …, 2013 - ieeexplore.ieee.org
In this paper, we address the problem of distributed interference management of cognitive
femtocells that share the same frequency range with macrocells using distributed multi …

Challenges and practical implementation of self-organizing networks in LTE/LTE-Advanced systems

MMS Marwangi, N Fisal, SKS Yusof… - … : Proceedings of the …, 2011 - ieeexplore.ieee.org
Self-organizing network/s (SON) was promoted by the Third Generation Partnership Project
(3GPP) and Next Generation Mobile Networks (NGMN). SON has been introduced since in …

Power control in two-tier OFDMA femtocell networks with particle swarm optimization

Z Huang, Z Zeng, H Xia, J Shi - 2011 IEEE 73rd Vehicular …, 2011 - ieeexplore.ieee.org
This paper addresses the power control problem in two-tier OFDMA femtocell networks to
alleviate the cross-tier interference. We model the objective of power control with utility …

A proximity-based Q-learning reward function for femtocell networks

JR Tefft, NJ Kirsch - 2013 IEEE 78th vehicular technology …, 2013 - ieeexplore.ieee.org
Q-learning has become a prominent tool for resource allocation and management in
femtocell networks, as it can decrease the time the network takes to determine an allocation …

A self‐organized resource allocation scheme for heterogeneous macro‐femto networks

M Mehta, N Rane, A Karandikar… - Wireless …, 2016 - Wiley Online Library
This paper investigates the radio resource management (RRM) issues in a heterogeneous
macro‐femto network. The objective of femto deployment is to improve coverage, capacity …

A power allocation algorithm based on cooperative Q-learning for multi-agent D2D communication networks

Z Dou, G Si, Y Lin, M Wang - Physical Communication, 2021 - Elsevier
In the multi-agent device to device (D2D) communication networks, the scene of the multi-
agent will change due to its mobility. To address communication interference and energy …

RL-Assisted Power Allocation for Covert Communication in Distributed NOMA Networks

J Bai, J He, Y Chen, Y Shen, X Jiang - IEEE Systems Journal, 2024 - ieeexplore.ieee.org
This article focuses on covert communication in a distributed network with multiple
nonorthogonal multiple access (NOMA) systems, where each NOMA system is consisted of …