Spectrum Sensing for Cognitive Radio Using Genetic Algorithm

Authors

  • Shewangi Kochhar UIET, Panjab University
  • Roopali Garg UIET, Panjab University

DOI:

https://doi.org/10.3991/ijoe.v14i09.9064

Keywords:

, Cognitive Radio, Genetic algorithm, Particle Swarm Optimization, Probability of false alarm, Spectrum Sensing, Throughput.

Abstract


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.

Author Biographies

Shewangi Kochhar, UIET, Panjab University

Shewangi kochhar belongs to a beautiful city Chandigarh. She was born on 8th august 1993. She completed her B.tech in Electronics and computers in 2015 from Rayat Bahra University Punjab and pursuing her M.E from Panjab University Chandigarh in Information technology. Her research areas are wireless communications, security and cognitive radios. Ms Kochhar has various research papers in Cognitive radio which is published in reputed journals and conferences.

Roopali Garg, UIET, Panjab University

Roopali Garg is Associate Professor of Department of IT, UIET, Panjab University, Chandigarh. She did her M.Tech in Electronics and B.Tech in Electronics & Electrical Communication Engg from PEC University of Technology, Chandigarh. She has been in academics for 15 years and is armed with rich teaching and research experience. Ms. Garg has over 60 technical papers published in indexed high impact-factor International Journals and International Conferences.Ms. Garg has authored two books, namely Polarization Mode Dispersion and Digital Electronics. In addition she has several book chapters to her credit.

Her focused research area is Wireless communication, Optical communication, and Cognitive Radio. She has guided more than 15 M.Tech Thesis. She has delivered guest talks and lectures in various institutes. She has reviewed many research papers for varied reputed journals. She is an active Life Member of several International and National technical organizations like ISTE, IETE, IEE.She has been awarded Administrator's Gold medal by Chandigarh Administration in 2000 for her supreme performance in curricular, co- curricular and extra- curricular activities. 

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Published

2018-09-30

How to Cite

Kochhar, S., & Garg, R. (2018). Spectrum Sensing for Cognitive Radio Using Genetic Algorithm. International Journal of Online and Biomedical Engineering (iJOE), 14(09), pp. 190–199. https://doi.org/10.3991/ijoe.v14i09.9064

Issue

Vol. 14 No. 09 (2018)

Section

Short Papers