Research Article
Neetu Sharma · S. V. Charhate · Preeti Trivedi
Journal
International Journal of Digital Applications and Contemporary Research (IJDACR)
ISSN
2319-4863
Volume / Issue
Vol.6 · Issue 11
Published
June 2018
Access
Open Access
Licence
CC BY-NC-SA 4.0
Cognitive radio is an important technique of dynamic spectrum allocation. By using the cognitive radio (CR) spectrum utilization can be improved. Spectrum sensing plays an influential role in detecting white spaces present in the spectrum. So, spectrum sensing algorithm will help the secondary user (SU) to detect spectrum holes precisely. Here energy detection (ED) spectrum sensing technique is used. Energy detection spectrum sensing with single threshold has been widely researched in the past. The interference between primary user (PU) and secondary user (SU) was more in energy detection with single threshold therefore the collision rate was much high. So, to minimize collision rate and improve the probability of detection (Pd) this paper proposes a genetically optimized double threshold based energy detection spectrum sensing algorithm to optimize the performance of cognitive radio networks. Simulations based on probability of detection (Pd), probability of miss detection (Pm), and collision rate has been presented in this paper.
Neetu Sharma, S. V. Charhate, Preeti Trivedi (2018). Genetically Optimized Adaptive Threshold Based Energy Detection Spectrum Sensing Algorithm for Cognitive Radio Networks. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.6, Issue 11. ISSN: 2319-4863.
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