Throughput Maximization by Optimizing Secondary Users in a Cooperative Cognitive Radio Network using Hard Fusion Rules
V Aswini1, Ch Sudhamani2
1V. Aswini is with the Department of Electronics and communication Engineering, CMR Technical Campus, Medchal, Telangana, India.
2Ch. Sudhamani is with the Department of Electronics and communication Engineering, CMR Technical Campus, Medchal, Telangana, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 801-804 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5321059720/2020©BEIESP | DOI: 10.35940/ijitee.G5321.059720
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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: TCognitive radio network is a promising technology for enabling secondary users to utilize the licensed spectrum of the primary user without causing interference. The data trans- mitted by the secondary users through primary channel without affecting the primary user is known as channel throughput. In cooperative spectrum sensing(CSS) as the number of secondary users increases the channel throughput increases which in turn reduces the spectrum efficiency due to more spectrum wastage. Therefore in this paper, channel throughput is maximized by optimizing secondary users proposed and throughput for variable secondary users for OR and AND fusion rules is investigated. The optimal secondary users is estimated mathematically and simulation results shows the variation of throughput for variable number of secondaryusers.
Keywords: Cognitive Radio Network, Cooperative Spectrum Sensing, Throughput.
Scope of the Article: Cognitive Radio Networks