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Optimal Energy Harvesting Time and Power Allocation Policy in CRN Under SecurityConstraints from Eavesdroppers
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
VNU Univ Engn & Technol, Hanoi, Vietnam.
University of Quebec, Montreal, Canada.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6497-4099
2017 (English)In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC 16, 2017Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we study energy harvesting cognitive radio networks (CRNs) in the presence of multiple eavesdroppers (EAVs) and multiple primary users (PUs). In particular, the secondary user (SU) harvests energy from multiple primary user transmitters (P-Tx), and then uses this harvested energy to deliver packets to the secondary access point (SAP). The SU communication faces multiple EAVs intending to steal its confidential information. In order to protect itself against multiple EAVs and also to protect the PUs communication from interference generated by the SU signals, the SU should be equipped with a suitable power allocation strategy which is derived from channel state information, harvested energy, security constraints given by the SU, and interference constraint given by the PU. Accordingly, an energy harvesting and communication protocol is proposed. Further, the optimal energy harvesting time, a power allocation policy, and a channel selection strategy for the SU are derived and analyzed. To this end, closed-form expressions for the packet error probability and the average packet delay including retransmissions are obtained. Interestingly, the numerical results obtained in this paper show that the proposed power allocation and channel selection strategy does not only improve the spectrum and energy utilization, but also protect the confidential information of the SU from the EAVs.

Place, publisher, year, edition, pages
2017.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-37060ISI: 000426970903080ISBN: 978-1-5386-3531-5 (print)OAI: oai:DiVA.org:mdh-37060DiVA, id: diva2:1155253
Conference
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC 16, 04 Sep 2017, Valencia, Spain
Projects
SafeCOP - Safe Cooperating Cyber-Physical Systems using Wireless Communication
Available from: 2017-11-07 Created: 2017-11-07 Last updated: 2018-04-18Bibliographically approved

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Tran, Hung VinhUhlemann, Elisabeth

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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