Vol. 5 Issue 1
Year: 2016
Issue:Nov-Jan
Title:Performance Analysis of Co-Operative Spectrum Sensing Using Optimization in Cognitive Radio
Author Name:Payal Mishra and Neelam Dewangan
Synopsis:
A cognitive radio system is a mechanism which allows unlicensed (cognitive) user to utilize free bands. Cognitive users detect the presence of such free bands and energy detection which is highly regarded as a prospective technique for this spectrum sensing task. The main aim is to optimize the detection performance in an efficient and implementable way and to reduce the probability of error, which mainly occurs in the wireless channel. The analysis is done under the Rayleigh fading channel. However, there exist two kinds of detection errors (i.e., miss-detection error and false-alarm error), which degrade the sensing performance severely. To overcome the entire problems in the cognitive radio network, the authors need to use an optimization algorithm, which gives the satisfactory result in the given environment. Due to its simplicity and its multi handling capabilities, Genetic Algorithm(GA) is used. The result is compared with Conventional Energy Detector and it is evident from the comparison that, GA finds better solution to the given problem.
Year: 2016
Issue:Nov-Jan
Title:Performance Analysis of Co-Operative Spectrum Sensing Using Optimization in Cognitive Radio
Author Name:Payal Mishra and Neelam Dewangan
Synopsis:
A cognitive radio system is a mechanism which allows unlicensed (cognitive) user to utilize free bands. Cognitive users detect the presence of such free bands and energy detection which is highly regarded as a prospective technique for this spectrum sensing task. The main aim is to optimize the detection performance in an efficient and implementable way and to reduce the probability of error, which mainly occurs in the wireless channel. The analysis is done under the Rayleigh fading channel. However, there exist two kinds of detection errors (i.e., miss-detection error and false-alarm error), which degrade the sensing performance severely. To overcome the entire problems in the cognitive radio network, the authors need to use an optimization algorithm, which gives the satisfactory result in the given environment. Due to its simplicity and its multi handling capabilities, Genetic Algorithm(GA) is used. The result is compared with Conventional Energy Detector and it is evident from the comparison that, GA finds better solution to the given problem.
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