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020 _a9789819953943
_9978-981-99-5394-3
024 7 _a10.1007/978-981-99-5394-3
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
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072 7 _aTEC067000
_2bisacsh
072 7 _aTJF
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072 7 _aUYS
_2thema
100 1 _aGao, Zhen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966582
245 1 0 _aSparse Signal Processing for Massive MIMO Communications
_h[electronic resource] /
_cby Zhen Gao, Yikun Mei, Li Qiao.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVI, 217 p. 87 illus., 69 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- 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.
520 _aThe 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.
650 0 _aSignal processing.
650 0 _aTelecommunication.
650 1 4 _aSignal, Speech and Image Processing.
650 2 4 _aMicrowaves, RF Engineering and Optical Communications.
_965752
650 2 4 _aCommunications Engineering, Networks.
700 1 _aMei, Yikun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966583
700 1 _aQiao, Li.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966584
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819953936
776 0 8 _iPrinted edition:
_z9789819953950
776 0 8 _iPrinted edition:
_z9789819953967
856 4 0 _uhttps://doi.org/10.1007/978-981-99-5394-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c56407
_d56407