Power Allocation in Cognitive Radio Networks using Genetic Algorithm
Keshav Mishra1, Aditya Trivedi2, Rekha Gupta3

1Keshav Mishra, Department of Electronics and Communication, MITS, Gwalior, India.
2Dr. Aditya Trivedi, Information and Communication Technology (ICT) Department, ABV Indian Institute of Information Technology and Management, Gwalior, India.
3Dr. Rekha Gupta, Department of Electronics and Communication, MITS, Gwalior, India.
Manuscript received on 27 August 2019. | Revised Manuscript received on 07 September 2019. | Manuscript published on 30 September 2019. | PP: 4253-4257 | Volume-8 Issue-11, September 2019. | Retrieval Number: K24320981119/2019©BEIESP | DOI: 10.35940/ijitee.K2432.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Cognitive radio is one of the Frontline areas in wireless communication. With the evolution of 5th generation wireless communication techniques, the expected use of cognitive-communication will be enhanced. The joint model consisting of the Overlay and Underlay spectrum mechanism has been considered for transmission rate optimization using the genetic algorithm and the performance improvement has been recorded over the suboptimum scheme using the JOUSAM model for the cognitive radio network. For a given power budget and interference limit, the transmission rate is optimized with respect to power and bandwidth.
Keywords: Cognitive radio, JOUSAM, GA, Wireless communication, etc.
Scope of the Article: Cognitive Radio Networks