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Error Performance of RIS-Assisted NOMA Networks with Imperfect Channel State Information

Guomei Cao, M. Li, Honglin Yuan, Wei Chen, Li Li, Abdul Raouf

202318 citationsDOI

Abstract

This paper investigates the impact of imperfect channel state information (ipCSI) on the performance of RIS-assisted NOMA vehicular networks while considering the effect of imperfect successive interference cancellation (ipSIC). Moreover, we present novel closed-form pairwise error probability (PEP) expressions with arbitrary L users. The PEP is used to evaluate the union bound on the bit error rate of NOMA users. Finally, the analysis is supported by numerical and Monte Carlo simulation results. We show that the impact of ipCSI with ipSIC on each user’s error rate performance is great at the high P <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</inf> . We also confirm that the error rate performance of the system decreases with the increase of RUs.

Topics & Concepts

ImperfectNomaComputer scienceBit error rateChannel (broadcasting)Pairwise error probabilityInterference (communication)Word error rateSingle antenna interference cancellationProbability of errorPairwise comparisonPerfect informationAlgorithmMonte Carlo methodStatisticsComputer networkArtificial intelligenceMathematicsMathematical economicsLinguisticsMIMOPhilosophyTelecommunications linkAdvanced Wireless Communication TechnologiesIoT Networks and ProtocolsAge of Information Optimization