Sparse Signal Processing for Massive MIMO Communications
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Beschreibung
The book focuses on utilizing sparse signal processing techniques in designing massive MIMO communication systems. As the number of antennas has been increasing rapidly for years, extremely high-dimensional channel matrix and massive user access urge for algorithms with much higher efficiency. This book provides in-depth discussions on compressive sensing techniques and simulates the performance on wireless systems. The easy-to-understand instructions with detailed simulations and open-sourced codes provide convenience for readers such as researchers, engineers, and graduate students in the fields of wireless communications.
The book focuses on utilizing sparse signal processing techniques in designing massive MIMO communication systems. As the number of antennas has been increasing rapidly for years, extremely high-dimensional channel matrix and massive user access urge for algorithms with much higher efficiency. This book provides in-depth discussions on compressive sensing techniques and simulates the performance on wireless systems. The easy-to-understand instructions with detailed simulations and open-sourced codes provide convenience for readers such as researchers, engineers, and graduate students in the fields of wireless communications.
Is the first book to apply sparse signal processing in wireless communication systems systematically Describes the physical (PHY) layer algorithm design in detail with considerable open-source codes Gives explanations of basic theories on massive MIMO and sparse signal processing for starters to follow and learn
Autor*in
Zhen Gao
Themen in »Sparse Signal Processing for Massive MIMO Communications«
Massive MIMO Orthogonal frequency division multiplexing Wireless channel Channel estimation Sparse signal processing Compressive sensing Structured sparsity Channel feedback Millimeter wave Beamforming