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dc.contributor.advisorAlouini, Mohamed-Slim
dc.contributor.authorKafizov, Amanat
dc.date.accessioned2021-04-25T10:45:26Z
dc.date.available2021-04-25T10:45:26Z
dc.date.issued2021-04
dc.identifier.citationKafizov, A. (2021). Wireless Network Coding with Intelligent Reflecting Surfaces. KAUST Research Repository. https://doi.org/10.25781/KAUST-5NU95
dc.identifier.doi10.25781/KAUST-5NU95
dc.identifier.urihttp://hdl.handle.net/10754/668916
dc.description.abstractConventional wireless techniques are becoming inadequate for beyond fifth-generation (5G) networks due to latency and bandwidth considerations. To increase the wireless network throughput and improve wireless communication systems’ error performance, we propose physical layer network coding (PNC) in an Intelligent Reflecting Surface (IRS)-assisted environment. We consider an IRS-aided butterfly network, where we propose an algorithm for obtaining the optimal IRS phases. Also, analytic expressions for the bit error rate (BER) are derived. The numerical results demonstrate that the scheme proposed in this thesis significantly enhances the BER performance. The proposed scheme is compared to traditional network coding without IRS. For instance, at a target BER of 10−3, 28 dB and 0.75 dB signal to noise ratio (SNR) gains are achieved at the relay and destination node of the 32-element IRS-assisted butterfly network model.
dc.language.isoen
dc.subjectnetwork coding
dc.subjectbutterfly network
dc.subjectperformance analysis
dc.subjectIntelligent reflecting surfaces
dc.titleWireless Network Coding with Intelligent Reflecting Surfaces
dc.typeThesis
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberShihada, Basem
dc.contributor.committeememberLaleg-Kirati, Taous-Meriem
dc.contributor.committeememberKammoun, Abla
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.nameMaster of Science
refterms.dateFOA2021-04-25T10:45:27Z
kaust.request.doiyes


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