dc.contributor.author Arzykulov, Sultangali dc.contributor.author Nauryzbayev, Galymzhan dc.contributor.author Hashmi, Mohammad S. dc.contributor.author Eltawil, Ahmed dc.contributor.author Rabie, Khaled M. dc.contributor.author Seilov, Shakhmaran dc.date.accessioned 2020-05-04T11:58:25Z dc.date.available 2020-05-04T11:58:25Z dc.date.issued 2020 dc.date.submitted 2020-03-31 dc.identifier.citation Arzykulov, S., Nauryzbayev, G., Hashmi, M. S., Eltawil, A. M., Rabie, K. M., & Seilov, S. (2020). Hardware- and Interference-Limited Cognitive IoT Relaying NOMA Networks With Imperfect SIC Over Generalized Non-Homogeneous Fading Channels. IEEE Access, 8, 72942–72956. doi:10.1109/access.2020.2987873 dc.identifier.issn 2169-3536 dc.identifier.doi 10.1109/ACCESS.2020.2987873 dc.identifier.uri http://hdl.handle.net/10754/662721 dc.description.abstract Internet-of-Things (IoT) technology has received much attention due to its great potential to interconnect billions of devices in a broad range of applications. IoT networks can provide high-quality services for a large number of users and smart objects. On the other hand, massive connectivity in IoT networks brings problems associated with spectral congestion. This issue can be solved by applying cognitive radio (CR) and non-orthogonal multiple access (NOMA) techniques. In this respect, this paper studies the performance of cooperative CR-NOMA enabled IoT networks over a generalized $\alpha - \mu$ fading channel model. Closed-form analytical expressions of the end-to-end outage probability (OP) for the secondary NOMA users are derived using the Meijer’s G-function with a consideration of the impacts of the interference temperature constraint, primary interference, residual hardware impairments and imperfect successive interference cancellation. Moreover, to acquire some useful insights on the system performance, asymptotic closed-form OP expressions are provided. Additionally, the impact of $\alpha$ and $\mu$ fading parameters on the outage performance is examined and, as a result, it is concluded that the system performance sufficiently improves as $\alpha$ and/or $\mu$ increase. Furthermore, the outage performance of the proposed system model is shown to outperform that of an identical IoT network operating on orthogonal multiple access. Finally, the provided closed-form OP expressions are validated with Monte Carlo simulations. dc.description.sponsorship The authors would like to acknowledge Dr. Abdulkadir Celik for useful discussions. dc.publisher Institute of Electrical and Electronics Engineers (IEEE) dc.relation.url https://ieeexplore.ieee.org/document/9066904/ dc.relation.url https://ieeexplore.ieee.org/document/9066904/ dc.relation.url https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9066904 dc.rights This work is an open access article, licensed under a Creative Commons Attribution 4.0 License. dc.rights.uri https://creativecommons.org/licenses/by/4.0/ dc.subject α – μ fading dc.subject cognitive radio (CR) dc.subject cooperative communications dc.subject Internet-of-Things (IoT) dc.subject non-homogeneous generalized fading dc.subject non-orthogonal multiple access (NOMA) dc.subject outage probability (OP) dc.title Hardware- and Interference-Limited Cognitive IoT Relaying NOMA Networks With Imperfect SIC Over Generalized Non-Homogeneous Fading Channels dc.type Article dc.contributor.department Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia dc.contributor.department Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division dc.identifier.journal IEEE Access dc.eprint.version Publisher's Version/PDF dc.contributor.institution School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan dc.contributor.institution Department of Engineering, Manchester Metropolitan University, Manchester, U.K. dc.contributor.institution Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan dc.identifier.volume 8 dc.identifier.pages 72942-72956 kaust.person Hashmi, Mohammad S. kaust.person Eltawil, Ahmed Mohamed dc.date.accepted 2020-04-09 refterms.dateFOA 2020-05-04T12:00:07Z
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