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Spectrum Sharing Technique for Cooperative Cognitive Radio Networks using Bipartite Graph

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Ashish Kumar Sinha, Rajeev Thakur

Ashish Kumar Sinha and Rajeev Thakur. Spectrum Sharing Technique for Cooperative Cognitive Radio Networks using Bipartite Graph. International Journal of Computer Applications 157(9):4-7, January 2017. BibTeX

	author = {Ashish Kumar Sinha and Rajeev Thakur},
	title = {Spectrum Sharing Technique for Cooperative Cognitive Radio Networks using Bipartite Graph},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {157},
	number = {9},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {4-7},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017912750},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


This paper presents, a spectrum sharing strategy in cooperative cognitive radio network (CCRN). A multi-phase cooperation architecture is explained and studied with cooperation partner selection and spectrum sharing among secondary users (SUs).The data of primary users (PUs) forwarded to the cooperation partners who are selected from SUs, and then acquire the spectrum access opportunities for their own transmissions as a reward. The partner selection is modeled as an optimally weighted bipartite matching problem to maximize the total utility where energy efficiency is also considered just to increase the utility for the PU-SU cooperation pairs. By the partner SU further improvisation in the spectrum utilization is done by sharing the acquired spectrum with the surrounding SUs via cooperative network coding. At the end the simulation results provided, which shows that to the dynamic traffic loads in CCRN, the proposed partner selection and spectrum sharing approach adapts well.


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