Zhen Gao,
Yikun Mei,
Li Qiao
Springer Nature Singapore
e druk, 2023
9789819953936
Sparse Signal Processing for Massive MIMO Communications
Specificaties
Gebonden, blz.
|
Engels
Springer Nature Singapore |
e druk, 2023
ISBN13: 9789819953936
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Samenvatting
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.
Specificaties
ISBN13:9789819953936
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore
Inhoudsopgave
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.
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