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    Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces

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    Type
    Preprint
    Authors
    Wan, Ziwei
    Gao, Zhen
    Renzo, Marco Di
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2020-09-23
    Permanent link to this record
    http://hdl.handle.net/10754/665440
    
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    Abstract
    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 subwavelength 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 closedloop 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 and delay domain. Simulation results demonstrate the superiority of holographic RISs over the nonholographic ones, and the effectiveness of the proposed CE scheme.
    Publisher
    arXiv
    arXiv
    2009.10963
    Additional Links
    https://arxiv.org/pdf/2009.10963
    Collections
    Preprints; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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