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Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2015
Authors:
Kiran Sultan, Bassam A. Zafar, Babar Sultan
10.5120/ijca2015906953

Kiran Sultan, Bassam A Zafar and Babar Sultan. Article: Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks. International Journal of Computer Applications 130(3):29-34, November 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Kiran Sultan and Bassam A. Zafar and Babar Sultan},
	title = {Article: Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {130},
	number = {3},
	pages = {29-34},
	month = {November},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Transmit power minimization is one of the major research challenges in Relay-Assisted Cognitive Radio Networks. In this process, the transmit power of each individual relay is adjusted in such a way that the overall transmit power consumption at the relay network is minimized while satisfying the minimum Quality-of-Service (QoS) requirements of primary and secondary networks. In this paper, a similar constrained optimization problem is focused in which a secondary source-destination pair is assisted by a potential relay network having Cognitive Radio capabilities. A Fuzzy Rule Based System (FRBS) is proposed for intelligent relay selection such that total transmit power at the relay network is minimized while achieving the desired signal-to-noise ratio (SNR) at the destination and keeping the primary communication undisturbed. The effectiveness of the proposed scheme is highlighted through simulation results.

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Keywords

Cognitve Radio Network, Underlay Spectrum Sharing, Cooperative Communication, Amplify-and-Forward, Fuzzy Rule Based System