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Interference Suppression Capabilities of Smart Cognitive-Femto Networks (SCFN)
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Author(s): Muhammad Zeeshan Shakir (King Abdullah University of Science and Technology, Saudi Arabia), Rachad Atat (King Abdullah University of Science and Technology, Saudi Arabia)and Mohamed-Slim Alouini (King Abdullah University of Science and Technology, Saudi Arabia)
Copyright: 2013
Pages: 25
Source title:
Self-Organization and Green Applications in Cognitive Radio Networks
Source Author(s)/Editor(s): Anwer Al-Dulaimi (Brunel University, UK), John Cosmas (Brunel University, UK)and Abbas Mohammed (Blekinge Institute of Technology, Sweden)
DOI: 10.4018/978-1-4666-2812-0.ch006
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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.
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