Throughput optimization in cognitive radio using demand based adaptive genetic algorithm

Chatterjee, Subhajit; Sircar, Sachet; Dutta, Subhojit; Majumder, Swapnil; Dutta, Souvik; Mitra, Anwesha; Dutta, Swaham; Roy, Jibendu Sekhar

doi:10.1109/uemcon.2017.8249093

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2spectrum Identification1

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Cited by 4 publications

(2 citation statements)

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“…With TVWS, the primary goal is to more efficiently utilize the spectrum without interfering or causing interferences to licensed users. With that goal in mind, the regulatory bodies have considered three methods to ensure that interference does not occur: beacons, spectrum sensing [31][32][33], and geolocation database [34].…”

Section: 2spectrum Identificationmentioning

confidence: 99%

A survey and comparison of TV white space implementations in Japan, the Philippines, Singapore, the united kingdom, and the united states

Ante¹,

Molina²,

Trinidad³

et al. 2021

IJATEE

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Section: 2spectrum Identificationmentioning

confidence: 99%

A survey and comparison of TV white space implementations in Japan, the Philippines, Singapore, the united kingdom, and the united states

Ante¹,

Molina²,

Trinidad³

et al. 2021

IJATEE

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show abstract

“…The author has formulated a problem to minimize the interference caused due to licensed user. In [9] author describes the different strategies for the hybridization of combinatorial optimization problem of PSO and new technique called adaptive genetic algorithm to overcome the drawback like pre-maturity. This algorithm can change the cross over probability and mutation probability.…”

Section: Literature Reviewmentioning

confidence: 99%

Spectrum Sensing for Cognitive Radio Using Genetic Algorithm

Kochhar

Garg

2018

Int. J. Onl. Eng.

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<p>Cognitive Radio has been skillful technology to improve the spectrum sensing as it enables Cognitive Radio to find Primary User (PU) and let secondary User (SU) to utilize the spectrum holes. However detection of PU leads to longer sensing time and interference. Spectrum sensing is done in specific “time frame” and it is further divided into Sensing time and transmission time. Higher the sensing time better will be detection and lesser will be the probability of false alarm. So optimization technique is highly required to address the issue of trade-off between sensing time and throughput. This paper proposed an application of Genetic Algorithm technique for spectrum sensing in cognitive radio. Here results shows that ROC curve of GA is better than PSO in terms of normalized throughput and sensing time. The parameters that are evaluated are throughput, probability of false alarm, sensing time, cost and iteration.</p>

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A Novel Approach for Channel Allocation In OFDM Based Cognitive Radio Technology

Yilmazel

Inanc

2021

Wireless Pers Commun

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Throughput optimization in cognitive radio using demand based adaptive genetic algorithm

Cited by 4 publications

References 8 publications

A survey and comparison of TV white space implementations in Japan, the Philippines, Singapore, the united kingdom, and the united states

A survey and comparison of TV white space implementations in Japan, the Philippines, Singapore, the united kingdom, and the united states

Spectrum Sensing for Cognitive Radio Using Genetic Algorithm

A Novel Approach for Channel Allocation In OFDM Based Cognitive Radio Technology

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