期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：1
页码：757
DOI：10.15680/IJIRCCE.2016.0401163
出版社：S&S Publications
摘要：Femtocells aim to improve the cellular network coverage and capacity. However, new conception challenges are posed by deploying the femtocells randomly on the cellular network. One of the major issues is the interferences caused by the cross - tier transmiss ions between femtocell and macrocell which both work on the same spectrum. Among all the access control mechanisms, hybrid access seems to be the promising choice, since the femtocellopens a part of its resources for macro users while reserving the residua l part to its own users . We propose a hybrid access control mechanism, where the macrocell remunerates a refunding amount to femtocells depending on their contribution to macro user's data trans - mission. The aim of this work is to study the environment co ncurrence between the femtocells with a decentralized manner by using the learning algorithm LRI. Some simulations have been conducted and the results show that the utilities of both, femtocell and macrocell, are significantly improved exploiting thehybrid access mechanism
