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Fuzzy-based Interference Level Estimation in Cognitive Radio Networks

Authors:
Minh Thao Quach
Francine Krief
Mohamed Aymen Chalouf
Hicham Khalife

Keywords: Cognitive radio; fuzzy logic; routing metric; interference avoidance.

Abstract:
Fuzzy logic is used in various areas such as economics, train systems, smart home systems, telecommunications. Recently, fuzzy logic has attracted researchers working in cognitive radio networks (CRNs). In this paper, we introduce a method that uses fuzzy logic to combine observed factors of the wireless environment (e.g., area overlapping and primary receivers density) to estimate interference level to primary receivers. The computed results reflect the precise impact that may be induced when a cognitive radio communication is operating nearby. This impact envisages the effects of CRNs over primary receivers. It can also be used as a routing metric that helps to choose the route with minimal impact - lowest interference level - to primary receivers.

Pages: 138 to 143

Copyright: Copyright (c) IARIA, 2014

Publication date: July 20, 2014

Published in: conference

ISSN: 2308-4030

ISBN: 978-1-61208-360-5

Location: Paris, France

Dates: from July 20, 2014 to July 24, 2014