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Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
This Special Issue consists of 19 papers and each of them focuses on a popular topic related to massive MIMO systems, e.g. analog/digital hybrid signal processing, antenna fabrication, and machine learning incorporation.
Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
Receiver: space-time processing, antenna combining, reduced rank processing, robust beamforming, subspace methods, synchronization, equalization, multiuser detection, iterative methods Channel: propagation, measurements and sounding, ...
Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
Working towards final deployment, this book updates the research community on the current mmWave Massive MIMO roadmap, taking into account the future emerging technologies emanating from 3GPP/IEEE.
Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
Professionals and technicians in wireless communication fields, graduate students in signal processing, as well as senior undergraduates majoring in wireless communications will find this book a practical introduction to the MIMO-OFDM ...
Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
To overcome these limitations and provide uniformly excellent service to all the users we need a more radical approach: we need to challenge the cellular paradigm. In this regard, cell-free massive MIMO constitutes the paradigm shift.
Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
This book provides a comprehensive overview of the latest research and standardization progress towards the 5th generation (5G) of mobile communications technology and beyond.
Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for dereverberation. Speech Dereverberation presents current approaches to the problem of reverberation.
Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
Thus, the book offers a far-reaching panorama of this exciting field. Contributions have been grouped into six areas. Many of the topics cut across all the protocol layers.
Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
This book shows how to exploit the special structure of such problems to develop efficient numerical algorithms.
Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction. from books.google.com
This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF).