Home // International Journal On Advances in Telecommunications, volume 8, numbers 1 and 2, 2015 // View article

Interference Avoidance Routing Strategy in Cognitive Radio Networks

Authors:
Thao Quach
Francine Krief
Mohamed Aymen Chalouf

Keywords: Cognitive radio; overlap region; prediction model; fuzzy logic; interference avoidance

Abstract:
Co-existence between legacy wireless infrastructure and a cognitive radio network has been attracting the research community. However, many challenges arise due to several difficulties, such as how to leverage current deployment for a secondary network but guarantee no interference to the primary network. This work illustrates a specific coexistence deployment in which a primary coverage reception overlaps with a cognitive transmitter’s reception zone. We show that typically, a large overlap zone causes high interference; however, the interference level is lower when the node density is minor. Fuzzy logic is used to combine observed factors of the wireless environment (e.g., area overlapping and primary receiver density) to estimate interference level to primary receivers. The computed results reflect the precise impact that may occur when a cognitive radio communication is operating nearby. Interference level is retrieved by the routing engine and becomes a routing metric alternative to the hopcount metric for our routing proposal, which leverages Dynamic MANET On Demand for cognitive radio networks. In this paper, we detail the proposed routing idea, which promotes a cross-layered routing design for cognitive radio networks and incorporates observed environment information to prevent severe interference with primary networks.

Pages: 84 to 97

Copyright: Copyright (c) to authors, 2015. Used with permission.

Publication date: June 30, 2015

Published in: journal

ISSN: 1942-2601