Abstract
The aim of this paper is to optimize femtocell performance by managing interference between femtocell devices and between a femtocell and a macrocell. It achieves this using a three-phase approach that involves deployment of femtocells and control of resulting connections through consideration and management of path loss, transmission power, signal strength and coverage area. Simulation experiments of the proposed three-phase approach at a local college that experiences a poor service from the macrocell predict significant improvements in femtocell performance in terms of managing both types of interference: co-tier and cross-tier, number of users who experience good service, coverage, and mitigating outage probability. The overall and individual complexity of each phase has also been considered. Our approach has been compared with some existing techniques chosen from the literature that has been reviewed and its predicted performance is significantly improved in comparison to these.
Highlights
Despite outperforming macrocells in indoor coverage, femtocell technology experiences significant levels of interference with other femtocells or a macrocell [1,2]
The focus of this paper is managing both types of interference, cotier and cross-tier, and improving the femtocell performance in terms of coverage, number of users and quality of its service
This technique identifies a BN either as the macrocell or a Femtocell Access Point (FAP) deployed in the coverage area
Summary
Despite outperforming macrocells in indoor coverage, femtocell technology experiences significant levels of interference with other femtocells or a macrocell [1,2]. Interference cancelation schemes focus on reducing interference at the receiver end and require knowledge of the interfering signal characteristics and antenna arrays at the receiver system to cancel any interference These techniques are insufficient for user equipment but are suitable for implementation in base stations such as a macrocell Base Station (MBS) and Femtocell Access Point (FAP) and they produce good results when used for uplink interference management. In this research we consider the limitations of each of the three types of interference management schemes and propose a new technique that is a combination of three methods deployed as three phases. A.A. Alotaibi and M.C. Angelides that finds the Best FAP (the Node) for each Femtocell User Equipment (FUE) among several candidate FAPs. FBN is executed by a Femtocell Management System (FMS) by considering several factors namely Received Signal Code Power (RSCP), multipath Path Loss (PL) and distance.
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