Interference suppression capabilities of smart cognitive-femto networks (SCFN)

Muhammad Shakir, Rachad Atat, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Cognitive Radios are considered a standard part of future heterogeneous mobile network architectures. In this chapter, a two tier heterogeneous network with multiple Radio Access Technologies (RATs) is considered, namely (1) the secondary network, which comprises of Cognitive-Femto BS (CFBS), and (2) the macrocell network, which is considered a primary network. By exploiting the cooperation among the CFBS, the multiple CFBS can be considered a single base station with multiple geographically dispersed antennas, which can reduce the interference levels by directing the main beam toward the desired femtocell mobile user. The resultant network is referred to as Smart Cognitive-Femto Network (SCFN). In order to determine the effectiveness of the proposed smart network, the interference rejection capabilities of the SCFN is studied. It has been shown that the smart network offers significant performance improvements in interference suppression and Signal to Interference Ratio (SIR) and may be considered a promising solution to the interference management problems in future heterogeneous networks. © 2013, IGI Global.
Original languageEnglish (US)
Title of host publicationSelf-Organization and Green Applications in Cognitive Radio Networks
PublisherIGI Global
Pages111-135
Number of pages25
ISBN (Print)9781466628120
DOIs
StatePublished - 2013

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

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