An Improved Energy Detector for Mobile Cognitive Users over Generalized Fading Channels

Lokesh Gahane, Prabhat Kumar Sharma, Neeraj Varshney, Theodoros Tsiftsis, Preetam Kumar

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


A cooperative cognitive radio network (CRN) with improved energy detection-based spectrum sensing is analyzed in various fading scenarios. Generalized multipath (Nakagami- m ) fading and enriched multipath (Nakagami- q ) fading models are considered along with two other general fading distributions, i.e., κ - μ and η - μ distributions. For spectrum sensing, instead of conventional power 2-based detection method, the arbitrary power p -based improved energy detector is used. The impact of the cognitive user mobility on the performance of the improved energy detector is investigated. Specifically, the statistics for the received signal are derived over various fading environments. The performance of the considered CRN system is evaluated in terms of probability of false alarm, probability of missed detection, and receiver operating characteristics (ROC) curves. Moreover, the area under the ROC curve is also obtained. Simulation results are provided to corroborate the theoretical results derived in this paper.

Original languageEnglish
Pages (from-to)534-545
Number of pages12
JournalIEEE Transactions on Communications
Issue number2
Publication statusPublished - Feb 1 2018


  • Cognitive radio network
  • cognitive user mobility
  • energy detection
  • spectrum sensing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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