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Harvest-and-Opportunistically-Relay: Analyses on Transmission Outage and Covertness

Research output: Contribution to journalArticlepeer-review

Yuanjian Li, Rui Zhao, Yansha Deng, Feng Shu, Zhiqiao Nie, Abdol-Hamid Aghvami

Original languageEnglish
Article number3015816
Pages (from-to)7779-7795
Number of pages17
Issue number12
Early online date19 Aug 2020
Accepted/In press2 Aug 2020
E-pub ahead of print19 Aug 2020
PublishedDec 2020


  • TWC2020_YuanjianLi

    TWC2020_YuanjianLi.pdf, 3.18 MB, application/pdf

    Uploaded date:17 Aug 2020

    Version:Accepted author manuscript

    This work is peer-reviewed and then accepted by journal Transactions on Wireless Communications on 2 Aug, 2020. This copy is the accepted version and the copyright of this work has been transferred to IEEE already.

King's Authors


To enhance transmission performance, privacy level, and energy manipulating efficiency of wireless networks, this article initiates a novel simultaneous wireless information and power transfer (SWIPT) full-duplex (FD) relaying protocol, named harvest-and-opportunistically-relay (HOR). Due to the FD characteristics, the dynamic fluctuation of relay's residual energy is difficult to quantify and track. To solve this problem, the Markov Chain (MC) theory is invoked. Furthermore, to improve the privacy level of the proposed HOR relaying system, covert transmission performance analysis is performed, where closed-form expressions of the optimal detection threshold and minimum detection error probability are derived. Last but not least, with the aid of stationary distribution of the MC, closedform expression of transmission outage probability is calculated, based on which transmission outage performance is analyzed. Numerical results have validated the correctness of analyses on transmission outage and covertness. The impacts of key system parameters on the performance of transmission outage and covertness are given and discussed. Based on mathematical analysis and numerical results, we showcase that the proposed HOR model can not only reliably enhance the transmission performance via smartly managing residual energy but also efficiently improve the privacy level of the legitimate transmission party via dynamically adjusting the optimal detection threshold.

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