Sparse Signal Processing for Massive MIMO 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...

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Detalles Bibliográficos
Autores principales: Gao, Zhen (Autor), Mei, Yikun (Autor), Qiao, Li (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edición:1st ed. 2024.
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Acceso en línea:https://doi.org/10.1007/978-981-99-5394-3
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Descripción
Sumario: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.
Descripción Física:XVI, 217 p. 87 illus., 69 illus. in color. online resource.
ISBN:9789819953943
DOI:10.1007/978-981-99-5394-3