TY - BOOK AU - Gao,Zhen AU - Mei,Yikun AU - Qiao,Li ED - SpringerLink (Online service) TI - Sparse Signal Processing for Massive MIMO Communications SN - 9789819953943 AV - TK5102.9 U1 - 621.382 23 PY - 2024/// CY - Singapore PB - Springer Nature Singapore, Imprint: Springer KW - Signal processing KW - Telecommunication KW - Signal, Speech and Image Processing KW - Microwaves, RF Engineering and Optical Communications KW - Communications Engineering, Networks N1 - 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 MIMOTechnology N2 - 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 UR - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-5394-3 ER -