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Traffic-Aware Optimal Spectrum Sensing Policy in Wireless-Powered Cognitive Radio Networks

Published: 05 January 2018 Publication History

Abstract

We consider an orthogonal frequency division multiple access (OFDMA)-based primary user (PU) network model which offers different spectral access and energy harvesting opportunities in wireless-powered cognitive radio networks (CRNs). In this setting, we propose a traffic-aware optimal spectrum sensing policy for opportunistic spectrum access and energy harvesting under the energy causality and PU collision constraints in the wireless-powered CRNs. PU channels carry different traffic patterns and show distinct idle/busy frequencies, and hence the spectral access and energy harvesting opportunities are application specific. Secondary user (SU) obtains traffic pattern information through observation of PU channels and classifies the idle/busy period statistics for each channel using the variational inference approach. Based on the statistics, we adopt a stochastic model for evaluating SU capacity by which the energy detection threshold for spectrum sensing can be found with higher sensing accuracy. Towards this, we formulate the Markov decision process (MDP) model obtained by quantizing the amount of SU battery. The effectiveness of the proposed stochastic model is confirmed through comparison with the optimal one obtained from an exhaustive method.

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Cited By

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  • (2023)Joint Power Control and Adaptive Sleeping Policy for Cooperative Spectrum Sensing in CRNWireless Personal Communications10.1007/s11277-023-10656-1133:1(1-13)Online publication date: 27-Dec-2023

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cover image ACM Other conferences
IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication
January 2018
628 pages
ISBN:9781450363853
DOI:10.1145/3164541
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • SKKU: SUNGKYUNKWAN UNIVERSITY

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 January 2018

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Author Tags

  1. OFDMA
  2. energy harvesting
  3. spectrum sensing
  4. traffic patterns
  5. variational inference
  6. wireless-powered cognitive radio networks (CRNs)

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IMCOM '18

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IMCOM '18 Paper Acceptance Rate 100 of 255 submissions, 39%;
Overall Acceptance Rate 213 of 621 submissions, 34%

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  • (2023)Joint Power Control and Adaptive Sleeping Policy for Cooperative Spectrum Sensing in CRNWireless Personal Communications10.1007/s11277-023-10656-1133:1(1-13)Online publication date: 27-Dec-2023

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