Performance of Cooperative Spectrum Sharing and Dynamic Sensing Strategies for Efficient Spectrum Utilization in Cognitive Radio
Pankaj Kumar Srivastava1, T. R. Sontakke2
1Pankaj Kumar Srivastava, Department of, Electronics and Telecommunication Engineering, TSSM’s Bhivarabai Sawant College of Engineering and Research, Narhe, Pune India.
2Dr. T. R. Sontakke, Department of Electronics Engineering, Siddhant College of Engineering, Sudumbare, Pune India.
Manuscript received on May 17, 2012. | Revised Manuscript received on June 26, 2012. | Manuscript published on June 30, 2012. | PP: 502-507 | Volume-1 Issue-5, June 2012. | Retrieval Number: E0567061512/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Due to crowd in the spectrum, interference protection is guaranteed through policy spectrum licensing. Cognitive radio and mesh network can facilitate spectrum sharing that improves spectral efficiency, provided spectrum policies are in place that supports these forms of sharing. This paper discusses the enhancement of Cognitive Radio which enable all the parameter. Cognitive Radios have been receiving increasing attention in academia, industry, and government. This has come after several studies indicating that up to 90% of the allocated radio spectrum less than 3GHz is idle most of the time. As a result, spectrum regulation around the world is in progress to allow unlicensed access on a non-interfering. Current researches are investigating different techniques of using cognitive radio to reuse more locally unused spectrums to increase the total system capacity. In this paper we address more spectrums sensing, protocol, hardware, measurement methodology, security and algorithmic challenges that could limit their performance or even make them infeasible. We also give some insight into the evolution of cognitive radios and characteristics. We conclude highlighting open research challenges in this exciting area.
Keywords: Component: Cognitive radio, Spectrum sensing, Dynamic spectrum access, Multi-dimensional spectrum sensing, Cooperative sensing, Radio identification.