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Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO

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TLDR
A general framework for the estimation of the transmitter-LIM and LIM-receiver cascaded channel is introduced, and a two-stage algorithm that includes a sparse matrix factorization stage and a matrix completion stage is proposed that can achieve accurate channel estimation for LIM-assisted massive MIMO systems.
Abstract
In this letter, we consider the problem of channel estimation for large intelligent metasurface (LIM) assisted massive multiple-input multiple-output (MIMO) systems. The main challenge of this problem is that the LIM integrated with a large number of low-cost metamaterial antennas can only passively reflect the incident signals by certain phase shifts, and does not have any signal processing capability. To deal with this, we introduce a general framework for the estimation of the transmitter-LIM and LIM-receiver cascaded channel, and propose a two-stage algorithm that includes a sparse matrix factorization stage and a matrix completion stage. Simulation results illustrate that the proposed method can achieve accurate channel estimation for LIM-assisted massive MIMO systems.

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References
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Journal ArticleDOI

A Singular Value Thresholding Algorithm for Matrix Completion

TL;DR: This paper develops a simple first-order and easy-to-implement algorithm that is extremely efficient at addressing problems in which the optimal solution has low rank, and develops a framework in which one can understand these algorithms in terms of well-known Lagrange multiplier algorithms.
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An introduction to millimeter-wave mobile broadband systems

TL;DR: This article introduces a millimeter-wave mobile broadband (MMB) system as a candidate next generation mobile communication system and demonstrates the feasibility for MMB to achieve gigabit-per-second data rates at a distance up to 1 km in an urban mobile environment.
Journal ArticleDOI

Online Learning for Matrix Factorization and Sparse Coding

TL;DR: In this paper, a new online optimization algorithm based on stochastic approximations is proposed to solve the large-scale matrix factorization problem, which scales up gracefully to large data sets with millions of training samples.
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Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication

TL;DR: In this article, the authors developed energy-efficient designs for both the transmit power allocation and the phase shifts of the surface reflecting elements subject to individual link budget guarantees for the mobile users.
Journal ArticleDOI

A New Wireless Communication Paradigm through Software-Controlled Metasurfaces

TL;DR: This article proposes a radically different approach, enabling deterministic, programmable control over the behavior of wireless environments, using the so-called HyperSurface tile, a novel class of planar meta-materials that can interact with impinging electromagnetic waves in a controlled manner.
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