Article Fingerprint
ReserarchID
CSTNWS00Z5C
Spectrum scarcity is one of the major challenges that the present world is facing. The efficient use of existing licensed spectrum is becoming most critical as growing demand of the radio spectrum. Different researches show that the use of licensed are not utilized inefficiently. It has been also shown that primary user does not use more than 60% of the licensed frequency band most of the time. There is need to find the techniques that can efficiently utilize the under-utilized licensed spectrum. One of the approaches is the use of “Cognitive Radio”. This allows the radio to learn from its environment, changing certain parameters. Based on this knowledge the radio can dynamically exploit the spectrum holes in the licensed band of the spectrum. This paper focuses on the performance of spectrum allocation technique, based on popular meta-heuristics Genetics Algorithm. Analyzing the performance of this technique using Matlab achieves mean fitness of 9.41. It provides fittest channels to the cognitive user on the basis of four priority parameters (genes) viz frequency, power, BER and modulation.
Veena Gawde. 2016. \u201cSpectrum Assignment Scheme based on Genetic Algorithm for Cognitive Radio Receiver\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E8): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 103
Country: India
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: Veena Gawde, B.K.Mishra, Rajesh Bansode (PhD/Dr. count: 0)
View Count (all-time): 240
Total Views (Real + Logic): 7900
Total Downloads (simulated): 1994
Publish Date: 2016 01, Mon
Monthly Totals (Real + Logic):
This paper attempted to assess the attitudes of students in
Advances in technology have created the potential for a new
Inclusion has become a priority on the global educational agenda,
Spectrum scarcity is one of the major challenges that the present world is facing. The efficient use of existing licensed spectrum is becoming most critical as growing demand of the radio spectrum. Different researches show that the use of licensed are not utilized inefficiently. It has been also shown that primary user does not use more than 60% of the licensed frequency band most of the time. There is need to find the techniques that can efficiently utilize the under-utilized licensed spectrum. One of the approaches is the use of “Cognitive Radio”. This allows the radio to learn from its environment, changing certain parameters. Based on this knowledge the radio can dynamically exploit the spectrum holes in the licensed band of the spectrum. This paper focuses on the performance of spectrum allocation technique, based on popular meta-heuristics Genetics Algorithm. Analyzing the performance of this technique using Matlab achieves mean fitness of 9.41. It provides fittest channels to the cognitive user on the basis of four priority parameters (genes) viz frequency, power, BER and modulation.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.