Sparse Signal Processing for Massive MIMO Communications / / Zhen Gao, Yikun Mei, and Li Qiao
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| Autore: |
Gao Zhen <1989->
|
| Titolo: |
Sparse Signal Processing for Massive MIMO Communications / / Zhen Gao, Yikun Mei, and Li Qiao
|
| Pubblicazione: | Beijing, China : , : Springer, , [2024] |
| ©2024 | |
| Edizione: | First edition. |
| Descrizione fisica: | 1 online resource (XIV, 217 p. 72 illus., 69 illus. in color.) |
| Disciplina: | 621.384 |
| Soggetto topico: | MIMO systems |
| Signal processing | |
| Persona (resp. second.): | MeiYikun |
| QiaoLi | |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | Introduction -- Massive MIMO Performance Analysis and Channel Estimation Scheme in Sparse Channels -- Channel Estimation Based on Structured Compressed Sensing Theory in FDD Massive MIMO Systems -- Channel Feedback Based on Distributed Compressed Sensing Theory in FDD Massive MIMO Systems -- Channel Estimation and Beamforming Based on Compressed Sensing Theory in mmWave Massive MIMO Systems -- Sparse Channel Estimation Based on Spectral Estimation Theory for mmWave Massive MIMO Systems -- Quasi-Optimal Signals Detection for Massive Spatial Modulation MIMO Systems Based on Structured Compressed Sensing -- Multiuser Signal Detection Based on Compressed Sensing for Massive Media Modulation MIMO Systems -- Compressed Sensing Mass Access Techniques in Medium Modulation Assisted IoT Machine Type Communication -- Time-varying Channel Estimation Based on Compressed Sensing Theory for TDS-OFDM Systems -- Summary and Prospects for Massive MIMO Technology. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Sparse Signal Processing for Massive MIMO Communications |
| ISBN: | 981-9953-94-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910760281503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |