LEADER 03053nam 2200505 450 001 9910760281503321 005 20231206112849.0 010 $a981-9953-94-4 024 7 $a10.1007/978-981-99-5394-3 035 $a(CKB)28533730300041 035 $a(DE-He213)978-981-99-5394-3 035 $a(MiAaPQ)EBC30793352 035 $a(Au-PeEL)EBL30793352 035 $a(PPN)272920207 035 $a(EXLCZ)9928533730300041 100 $a20231206d2024 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSparse Signal Processing for Massive MIMO Communications /$fZhen Gao, Yikun Mei, and Li Qiao 205 $aFirst edition. 210 1$aBeijing, China :$cSpringer,$d[2024] 210 4$dİ2024 215 $a1 online resource (XIV, 217 p. 72 illus., 69 illus. in color.) 311 $a9789819953936 320 $aIncludes bibliographical references. 327 $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 MIMO Technology. 330 $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. 606 $aMIMO systems 606 $aSignal processing 615 0$aMIMO systems. 615 0$aSignal processing. 676 $a621.384 700 $aGao$b Zhen$f1989-$01451325 702 $aMei$b Yikun 702 $aQiao$b Li 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910760281503321 996 $aSparse Signal Processing for Massive MIMO Communications$93651460 997 $aUNINA