On Performance of a SWIPT Enabled FD CRN with HIs and Imperfect SIC over α-μ Fading Channel

Deepak Kumar, Praveen Kumar Singya, Ondrej Krejcar, Vimal Bhatia

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


This paper investigates the performance of overlay full-duplex cooperative cognitive radio network in the presence of imperfect self interference cancellation over generalized α-μ fading channels effected by nonlinearity of the propagation medium. In practice, physical transceivers create distortion which degrades the performance, hence, the impact of transceiver hardware impairments (HIs) is considered. To overcome the energy constraint problem, a hybrid simultaneous wireless information and power transfer receiver is adopted that includes both the time switching and the power splitting protocols. To improve reliability of the communication link, we employ a hybrid relaying protocol that combines both the decode-and-forward and amplify-and-forward relaying protocols. The closed-form expressions of outage probability and asymptotic outage probability are derived for both the primary and the secondary networks over α-μ fading channels. The diversity order, throughput, and energy efficiency of the considered network are derived. Optimal values of time switching factor is obtained for which the considered network exhibits optimum outage probability, maximum throughput and energy efficiency. Further, optimal value of power splitting factor is obtained for which the considered network shows maximum throughput and energy efficiency. Finally, the Monte-Carlo simulations validate correctness of the derived closed-form expressions.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Cognitive Communications and Networking
StatePublished - Nov 9 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-11-11
Acknowledgements: This work was supported in part by the R&D project undertaken under project No. 12(28)/2020-CC&BT of the Ministry of Electronics and Information Technology, Government of India, and in part by Grant Agency of Excellence, No. 2204/2022, University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic.


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