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Performance Analysis and Improvement in Cognitive Radio Networks
Abstract
The development of mobile and wireless communication services has lead to the increase in use of wireless spectrum. However, the persuasion of the overly crowded spectrum is not due to the scarcity of usable radio frequencies but to the current static spectrum management policy. This reveals many idle frequency bands in both time and space. The Cognitive Radio Network (CRN) is a key solution to exploit the existing spectrum dynamically. Dynamic spectrum networks enable fast deployment of new wireless technologies by effectively utilizing allocated yet unused wireless spectrum. Cognitive Radio (CR) technology provides a new and promising solution to improve the spectrum utilization. Without interrupting the ongoing transmission of primary users (PUs) of the licensed bands, CR users in cognitive radio networks (CRNs) opportunistically use the vacant portions of licensed frequency bands. Due to the dynamic and diversity characteristics of channels in CRNs, channel assignment and routing paths selection are critical issues for the functionality and performance of CRNs. In this paper, SINR based routing metric (SBRM) is designed and the performance of the CRNs is improved when compared to minimum hops count, weighted cumulative expected transmission time (WCETT) ,Minimum Cumulative Interference and switching Delay (MCID).
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References
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