BER Performance of Full-Duplex Cognitive Radio Network with Nonlinear Energy Harvesting

Mohammadreza Babaei*, Umit Aygolu, Mehmet Basaran, Lutfiye Durak-Ata

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

In this paper, the bit error rate (BER) performance of a full-duplex (FD) overlay cognitive radio (CR) network with linear/nonlinear energy harvesting (EH) capability is investigated. The considered overlay CR network consists of a primary transmitter/receiver (PT/PR) pair, a secondary transmitter (ST) and an FD mode operated secondary receiver (SR) where ST harvests energy from both PT and SR during the first communication time slot. In the second communication time slot, SR receives its intended signal from ST while cooperating with PT by transmitting its signal to PR. The bit error probability (BEP) expressions for the primary/secondary users (PU/SU) are analytically derived and validated through Monte-Carlo simulations according to both linear and nonlinear EH models applied at ST. In addition, the optimum distance value between PT and ST is determined considering the objective of minimizing BER of both PU and SU. Moreover, corresponding system performances are obtained regarding a power allocation coefficient at SR to obtain the trade-off between EH and information processing. The results show that the proposed FD-CR system with nonlinear EH improves the PU BEP performance compared to the non-cooperative (direct transmission) case while the SU benefits from the spectrum of PU with a significant BER performance.

Original languageEnglish
Article number9080098
Pages (from-to)448-460
Number of pages13
JournalIEEE Transactions on Green Communications and Networking
Volume4
Issue number2
DOIs
Publication statusPublished - Jun 2020

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

Manuscript received November 25, 2019; revised March 28, 2020; accepted April 22, 2020. Date of publication April 28, 2020; date of current version May 19, 2020. This work was supported in part by the Istanbul Technical University Vodafone Future Lab under Project ITUVF20180701P09. The work of Mohammadreza Babaei was supported by the Research Fund of the Istanbul Technical University under Project MDK-2019-42438. The associate editor coordinating the review of this article and approving it for publication was I. Krikidis. (Corresponding author: Mohammadreza Babaei.) Mohammadreza Babaei and Lütfiye Durak-Ata are with the Informatics Institute, Istanbul Technical University, 34469 Istanbul, Turkey (e-mail: [email protected]; [email protected]).

FundersFunder number
Istanbul Technical University Vodafone Future LabITUVF20180701P09
Istanbul Teknik ÜniversitesiMDK-2019-42438

    Keywords

    • BER analysis
    • Cognitive radio
    • energy harvesting
    • full-duplex

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