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Cognitive Interference Management for Autonomic Femtocell Networks

by Kaoutharsethom,, Fadoua Mhiri, Ridhabouallegue, Guy Pujolle
journal cover thumbnail

International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 2
Year of Publication: 2012
Authors: Kaoutharsethom,, Fadoua Mhiri, Ridhabouallegue, Guy Pujolle
10.5120/ijais12-450276

Kaoutharsethom,, Fadoua Mhiri, Ridhabouallegue, Guy Pujolle . Cognitive Interference Management for Autonomic Femtocell Networks. International Journal of Applied Information Systems. 2, 2 ( May 2012), 40-48. DOI=10.5120/ijais12-450276

@article{ 10.5120/ijais12-450276,
author = { Kaoutharsethom,, Fadoua Mhiri, Ridhabouallegue, Guy Pujolle },
title = { Cognitive Interference Management for Autonomic Femtocell Networks },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2012 },
volume = { 2 },
number = { 2 },
month = { May },
year = { 2012 },
issn = { 2249-0868 },
pages = { 40-48 },
numpages = {9},
url = { https://www.ijais.org/archives/volume2/number2/135-0276/ },
doi = { 10.5120/ijais12-450276 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:43:17.572007+05:30
%A Kaoutharsethom,
%A Fadoua Mhiri
%A Ridhabouallegue
%A Guy Pujolle
%T Cognitive Interference Management for Autonomic Femtocell Networks
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 2
%N 2
%P 40-48
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The femtocell concept is an emerging technology for deploying the next generation of the wireless networks, aiming at indoor coverage enhancement, increasing capacity, and offloading the overlay macrocell traffic. Nevertheless, one of the most critical issues in femtocells deployment is the potential interference, thus mitigating the overall system capacity. Inspired by the cognitive radio technology which enables a station to cognize and adapt to the communication environment to reach the optimum network performance, this paper presents a joint power control and scheduling algorithm for interference management in femtocell networks. Simulations were conducted under Matlab. Theyshow the efficiency of our proposal and its ability to improve the overall throughputas well asreducing the energy consumption.

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Index Terms

Computer Science
Information Sciences

Keywords

Femtocells Interference Cognitive Approach Energy Efficiency Qos.

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