Practical energy detection for internet of things devices

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Proceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services
發行者Institute of Electrical and Electronics Engineers Inc.
頁面164-167
頁數4
ISBN(電子)9781538672440
DOIs
出版狀態Published - 2018 九月 26
事件3rd IEEE International Congress on Internet of Things, ICIOT 2018 - San Francisco, United States
持續時間: 2018 七月 22018 七月 7

出版系列

名字Proceedings - 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
國家/地區United States
城市San Francisco
期間18-07-0218-07-07

All Science Journal Classification (ASJC) codes

  • 安全、風險、可靠性和品質
  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 硬體和架構

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