Cognitive Radio Networks (2008)

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Intelligent and efficient development of wireless networks: A review of cognitive radio networks

Special efforts will be made to involve students from underrepresented groups in the form of wireless summer school to encourage participation in this project. Some full text articles may not yet be available without a charge during the embargo administrative interval. Some links on this page may take you to non-federal websites. Their policies may differ from this site.

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Wyglinski, M. Nekovee, and Y.

Local Independent Control of Cognitive Radio Networks - IEEE Conference Publication

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Nokia Research Center presents Cognitive Radio

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In this study, we proposed a novel solution that optimized the performance of cognitive radio networks that is mainly affected by spectrum sensing and channel selection process. Traditionally, secondary users randomly sense the channels until an idle channel is detected whenever their transmission is being interrupted. Inaccurate detection of spectrum availability had caused delays, throughput degradation and high spectrum handoffs in cognitive radio network. Consequently, this study proposes a novel use of Hidden Markov model for recognition of primary user traffic patterns.

Next, prediction of an idle channel selection scheme is being proposed.

Resource Management of Next Generation Networks Using Cognitive Radio Networks

The main concerned of this scheme is to prevent unnecessary delays in finding spectrum opportunities, reduce the number of primary user collision and number of handoffs. Hence, efficient and successful utilization of unexploited radio resources can be realized. Simulation results clearly verify that by using this proposed solution, the performance of cognitive radio network can be improved in terms of successful channel utilization, primary user collision, delays and number of handoffs.

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How to cite this article: J. Home Vol 2, No 4 Astaneh. Abstract In this paper, cognitive radio network is briefly introduced as well as routing parameters in cognitive radio networks. Due to lack of Spectrum, using not efficient methods of allocating static spectrum, in cognitive radio networks dynamic accessing spectrum is functional. Utilizing opportunistic a Spectrum requires recognition of routing parameters and metrics in cognition radio networks, which means considering fulfilling the minimum requirements of quality of service QOS secondary users need to use the allowed range of primary main users.

Since primary users are prior to use the spectrum, when primary and secondary users coexist, they need to monitor the bandwidth of the authorized spectrum. One of the most important stages to excess the dynamic spectrum is to explore it.

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Detection of the presence of the authorized users by unauthorized users is one of the things done in this stage, which is called spectroscopy. In the next stage, we used the analyzed information I was spectroscopy, to decide on accessing the spectrum. For further explaining routing metrics, we try to compare routing metrics in cognitive radio networks and wireless network and analyze its challenges in one-way routing and in multi-route routing.

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