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Energy detector performance over log-normal fading channel with diversity reception

Author

Listed:
  • Puspraj Singh Chauhan
  • Diwaker Tiwari
  • Sanjay Kumar Soni
  • Sandeep Kumar

Abstract

In this work, the performance of energy detection (ED)-based spectrum-sensing in cognitive radio (CR) networks over the Log-Normal (LN) fading channel has been analyzed. More specifically, accurate analytical expressions for the average detection probability using various diversity techniques, namely maximal ratio combining (MRC), equal gain combining (EGC), and selection combining (SC) are derived and evaluated. To get the improved system performance, the detection threshold parameter is optimized by minimizing the probability of error. The impact of the shadowing parameters on the performance of energy detectors is studied in the light of complimentary receiver operating characteristics (CROC) and area under the receiver operating characteristics curve (AUC). The derived analytical framework is generic which can be used for both integer and non-integer values of the shadowing parameters. To verify the correctness of our analysis, the derived results are corroborated via Monte-Carlo simulations.

Suggested Citation

  • Puspraj Singh Chauhan & Diwaker Tiwari & Sanjay Kumar Soni & Sandeep Kumar, 2019. "Energy detector performance over log-normal fading channel with diversity reception," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 33(17), pages 2242-2256, November.
    • Handle: RePEc:taf:tewaxx:v:33:y:2019:i:17:p:2242-2256
    DOI: 10.1080/09205071.2019.1675538
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