Teaching Learning Based Algorithm for calculating optimal values of Sensing error probability, Throughput and Blocking Probability in Cognitive Radio

  • Authors

    • Srinivas Katta
    • M Siva Ganga Prasad
    • B T.P Madhav
    2018-04-15
    https://doi.org/10.14419/ijet.v7i2.17.11558
  • Teaching Learning Based Optimization, Cognitive Radio, sensing error probability, Throughput, Handoff Blocking Probability, Differential Evolution and Genetic Algorithm.

  • Abstract

    We consider Teaching Learning Based Optimization (TLBO) to optimize the sensing error probability, Throughput and Blocking Probability in Cognitive Radio (CR) network. Sensing error probability, Throughput can be optimized by finding the optimal values of false alarm probability and detection probability. Blocking Probability can be optimized by finding the optimum value of number of guard channels. Results of TLBO are compared with Genetic Algorithm (GA) and Differential Evolution (DE) algorithm.

     

     

  • References

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  • How to Cite

    Katta, S., Siva Ganga Prasad, M., & T.P Madhav, B. (2018). Teaching Learning Based Algorithm for calculating optimal values of Sensing error probability, Throughput and Blocking Probability in Cognitive Radio. International Journal of Engineering & Technology, 7(2.17), 52-55. https://doi.org/10.14419/ijet.v7i2.17.11558

    Received date: 2018-04-15

    Accepted date: 2018-04-15

    Published date: 2018-04-15