Alsarhan, Ayoub, Agarwal, Anjali, Obeidat, Ibrahim, Bsoul, Mohammad, Khasawneh, Ahmad Al and Kilani, Yousef (2013) Optimal spectrum utilisation in cognitive network using combined spectrum sharing approach: overlay, underlay and trading. International Journal of Business Information Systems, 12 (4). pp. 423-454. ISSN 1746-0972
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Official URL: http://dx.doi.org/10.1504/IJBIS.2013.053216
Abstract
Cognitive radio technology enables unlicensed users (secondary users, SUs) to access the unused spectrum. In the literature, there are three spectrum sharing paradigms that enable SUs to access the licensed spectrum. These access techniques include underlay, overlay and spectrum trading, and have their own drawbacks. To combat these drawbacks, we propose a new approach for each of them and merge them into one combined system. Our overlay scheme provides quick access to the unused spectrum. We propose a new cooperative sensing protocol to reduce the likelihood of interfering with PUs. In order to enable SUs for transmitting simultaneously with PUs, we suggest using our underlay scheme. Our trading scheme allows PUs to trade the unused spectrum for the SUs that require better quality of service. The new combined scheme increases the size of spectrum in the cognitive network. Simulation results show the ability of the new scheme to serve extra traffic.
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering |
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Item Type: | Article |
Refereed: | Yes |
Authors: | Alsarhan, Ayoub and Agarwal, Anjali and Obeidat, Ibrahim and Bsoul, Mohammad and Khasawneh, Ahmad Al and Kilani, Yousef |
Journal or Publication: | International Journal of Business Information Systems |
Date: | January 2013 |
Digital Object Identifier (DOI): | 10.1504/IJBIS.2013.053216 |
Keywords: | cognitive network, spectrum management, spectrum overlay, spectrum underlay, spectrum secondary market, spectrum trading |
ID Code: | 977899 |
Deposited By: | Danielle Dennie |
Deposited On: | 03 Oct 2013 13:30 |
Last Modified: | 18 Jan 2018 17:45 |
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