IEEE Transactions on Vehicular Technology · 2021 · 101 citations · 36 references
EngineeringElectrical EngineeringDigital CommunicationInformation TheoryWireless CommunicationsChannel CapacityWireless Channel ModelingFading Channel CapacityLower BoundsOutage ProbabilityOutage Probability AnalysisPhase ResponseRayleigh FadingSystem Performance Modeling
Reconfigurable intelligent surfaces (RISs) have drawn significant attention due to their capability of controlling the radio environment and improving the system performance. In this paper, we study the performance of an RIS-assisted single-input single-output system over Rayleigh fading channels. Differently from previous works that assume a constant reflection amplitude, we consider a model that accounts for the intertwinement between the amplitude and phase response, and derive closed-form expressions for the outage probability and ergodic capacity. Moreover, we obtain simplified expressions under the assumption of a large number of reflecting elements and provide tight upper and lower bounds for the ergodic capacity. Finally, the analytical results are verified by using Monte Carlo simulations.
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Wireless Communications Through Reconfigurable Intelligent Surfaces
Ertuğrul Başar, Marco Di Renzo, Julien de Rosny et al. · IEEE Access · 2019 · 3.3K citations · Full text
Marco Di Renzo, Alessio Zappone, Mérouane Debbah et al. · arXiv (Cornell University) · 2020 · 3.1K citations · Full text
Engineering, Computer Engineering, Electrical Engineering +12
Journal of the Franklin Institute · 1954 · 2.9K citations
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
Marco Di Renzo, Mérouane Debbah, Dinh-Thuy Phan-Huy et al. · EURASIP Journal on Wireless Communications and Networking · 2019 · 1.8K citations · Full text
Engineering, Computer Engineering, Electrical Engineering +12