Practical energy detection for internet of things devices

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work investigates the impacts of unknown parameters of noise and signal powers on the popular spectrum sensing scheme, i.e., energy detection, for cognitive radios (CRs) over fading channels, which is a promising communication technology for the Internet of Things (IoT) devices. To study the effects of unknown parameters for the energy detector, a new maximum-likelihood (ML) estimation of noise and signal powers employing the cyclic prefix (CP) of orthogonal frequency-division multiplexing (OFDM) is presented. The Cramer-Rao lower bounds (CRLBs) of the estimation are obtained. Furthermore, the performances under both hypotheses, i.e., false-alarm rate (FAR) and detection probability (DP), of the impaired energy detector are validated by both simulation and analytical results.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages164-167
Number of pages4
ISBN (Electronic)9781538672440
DOIs
Publication statusPublished - 2018 Sep 26
Event3rd IEEE International Congress on Internet of Things, ICIOT 2018 - San Francisco, United States
Duration: 2018 Jul 22018 Jul 7

Publication series

NameProceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services

Other

Other3rd IEEE International Congress on Internet of Things, ICIOT 2018
CountryUnited States
CitySan Francisco
Period18-07-0218-07-07

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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  • Cite this

    Chin, W-L. (2018). Practical energy detection for internet of things devices. In Proceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services (pp. 164-167). [8473455] (Proceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIOT.2018.00030