IEEE Transactions on Communications · 2021 · 267 citations · 40 references
EngineeringComputer EngineeringElectrical EngineeringAntennasPhotonicsWireless CommunicationsBeam SteeringChannel EstimationHolographyMassive Multiple-input Multiple-outputMillimeter-wave CommunicationsTerahertz PhotonicsChannelsCompressive SensingMassive Mimo Channel EstimationMassive Multiple-input Multiple-output Channel EstimationMimoReconfigurable Hardware ArchitectureSub-wavelength PatterningTerahertz Communications
We propose a holographic version of a reconfigurable intelligent surface (RIS) and investigate its application to terahertz (THz) massive multiple-input multiple-output systems. Capitalizing on the miniaturization of THz electronic components, RISs can be implemented by densely packing sub-wavelength unit cells, so as to realize continuous or quasi-continuous apertures and to enable holographic communications. In this paper, in particular, we derive the beam pattern of a holographic RIS. Our analysis reveals that the beam pattern of an ideal holographic RIS can be well approximated by that of an ultra-dense RIS, which has a more practical hardware architecture. In addition, we propose a closed-loop channel estimation (CE) scheme to effectively estimate the broadband channels that characterize THz massive MIMO systems aided by holographic RISs. The proposed CE scheme includes a downlink coarse CE stage and an uplink finer-grained CE stage. The uplink pilot signals are judiciously designed for obtaining good CE performance. Moreover, to reduce the pilot overhead, we introduce a compressive sensing-based CE algorithm, which exploits the dual sparsity of THz MIMO channels in both the angular domain and delay domain. Simulation results demonstrate the superiority of holographic RISs over the non-holographic ones, and the effectiveness of the proposed CE scheme.
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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