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MIMO wireless communications [[electronic resource] ] : from real-world propagation to space-time code design / / Claude Oestges and Bruno Clerckx
MIMO wireless communications [[electronic resource] ] : from real-world propagation to space-time code design / / Claude Oestges and Bruno Clerckx
Autore Oestges Claude
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston ; ; London, : Academic Press, 2007
Descrizione fisica 1 online resource (477 p.)
Disciplina 621.384
Altri autori (Persone) ClerckxBruno
Soggetto topico MIMO systems
Wireless communication systems
ISBN 1-281-01992-5
9786611019921
0-08-054998-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; MIMO Wireless Communications; Copyright Page; Contents; List of Figures; List of Tables; Preface; List of Abbreviations; List of Symbols; About the Authors; Chapter 1 Introduction to multi-antenna communications; 1.1 Brief history of array processing; 1.2 Space-time wireless channels for multi-antenna systems; 1.3 Exploiting multiple antennas in wireless systems; 1.3.1 Diversity techniques; 1.3.2 Multiplexing capability; 1.4 Single-input multiple-output systems; 1.4.1 Receive diversity via selection combining; 1.4.2 Receive diversity via gain combining
1.4.3 Receive diversity via hybrid selection/gain combining1.5 Multiple-input single-output systems; 1.5.1 Switched multibeam antennas; 1.5.2 Transmit diversity via matched beamforming; 1.5.3 Null-steering and optimal beamforming; 1.5.4 Transmit diversity via space-time coding; 1.5.5 Indirect transmit diversity; 1.6 Multiple-input multiple-output systems; 1.6.1 MIMO with perfect transmit channel knowledge; 1.6.2 MIMO without transmit channel knowledge; 1.6.3 MIMO with partial transmit channel knowledge; 1.7 Multiple antenna techniques in commercial wireless systems
Chapter 2 Physical MIMO channel modeling2.1 Multidimensional channel modeling; 2.1.1 The double-directional channel impulse response; 2.1.2 Multidimensional correlation functions and stationarity; 2.1.3 Channel fading, K-factor and Doppler spectrum; 2.1.4 Power delay and direction spectra; 2.1.5 From double-directional propagation to MIMO channels; 2.1.6 Statistical properties of the channel matrix; 2.1.7 Discrete channel modeling: sampling theorem revisited; 2.1.8 Physical versus analytical models; 2.2 Electromagnetic models; 2.2.1 Ray-based deterministic methods
2.2.2 Multi-polarized channels2.3 Geometry-based models; 2.3.1 One-ring model; 2.3.2 Two-ring model; 2.3.3 Combined elliptical-ring model; 2.3.4 Elliptical and circular models; 2.3.5 Extension of geometry-based models to dual-polarized channels; 2.4 Empirical models; 2.4.1 Extended Saleh-Valenzuela model; 2.4.2 Stanford University Interim channel models; 2.4.3 COST models; 2.5 Standardized models; 2.5.1 IEEE 802.11 TGn models; 2.5.2 IEEE 802.16d/e models; 2.5.3 3GPP/3GPP2 spatial channel models; 2.6 Antennas in MIMO systems; 2.6.1 About antenna arrays; 2.6.2 Mutual coupling
Chapter 3 Analytical MIMO channel representations for system design3.1 General representations of correlated MIMO channels; 3.1.1 Rayleigh fading channels; 3.1.2 Ricean fading channels; 3.1.3 Dual-polarized channels; 3.1.4 Double-Rayleigh fading model for keyhole channels; 3.2 Simplified representations of Gaussian MIMO channels; 3.2.1 The Kronecker model; 3.2.2 Virtual channel representation; 3.2.3 The eigenbeam model; 3.3 Propagation-motivated MIMO metrics; 3.3.1 Comparing models and correlation matrices; 3.3.2 Characterizing the multipath richness
3.3.3 Measuring the non-stationarity of MIMO channels
Record Nr. UNINA-9910784614103321
Oestges Claude  
Amsterdam ; ; Boston ; ; London, : Academic Press, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MIMO wireless communications : from real-world propagation to space-time code design / / Claude Oestges and Bruno Clerckx
MIMO wireless communications : from real-world propagation to space-time code design / / Claude Oestges and Bruno Clerckx
Autore Oestges Claude
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston ; ; London, : Academic Press, 2007
Descrizione fisica 1 online resource (477 p.)
Disciplina 621.384
Altri autori (Persone) ClerckxBruno
Soggetto topico MIMO systems
Wireless communication systems
ISBN 1-281-01992-5
9786611019921
0-08-054998-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; MIMO Wireless Communications; Copyright Page; Contents; List of Figures; List of Tables; Preface; List of Abbreviations; List of Symbols; About the Authors; Chapter 1 Introduction to multi-antenna communications; 1.1 Brief history of array processing; 1.2 Space-time wireless channels for multi-antenna systems; 1.3 Exploiting multiple antennas in wireless systems; 1.3.1 Diversity techniques; 1.3.2 Multiplexing capability; 1.4 Single-input multiple-output systems; 1.4.1 Receive diversity via selection combining; 1.4.2 Receive diversity via gain combining
1.4.3 Receive diversity via hybrid selection/gain combining1.5 Multiple-input single-output systems; 1.5.1 Switched multibeam antennas; 1.5.2 Transmit diversity via matched beamforming; 1.5.3 Null-steering and optimal beamforming; 1.5.4 Transmit diversity via space-time coding; 1.5.5 Indirect transmit diversity; 1.6 Multiple-input multiple-output systems; 1.6.1 MIMO with perfect transmit channel knowledge; 1.6.2 MIMO without transmit channel knowledge; 1.6.3 MIMO with partial transmit channel knowledge; 1.7 Multiple antenna techniques in commercial wireless systems
Chapter 2 Physical MIMO channel modeling2.1 Multidimensional channel modeling; 2.1.1 The double-directional channel impulse response; 2.1.2 Multidimensional correlation functions and stationarity; 2.1.3 Channel fading, K-factor and Doppler spectrum; 2.1.4 Power delay and direction spectra; 2.1.5 From double-directional propagation to MIMO channels; 2.1.6 Statistical properties of the channel matrix; 2.1.7 Discrete channel modeling: sampling theorem revisited; 2.1.8 Physical versus analytical models; 2.2 Electromagnetic models; 2.2.1 Ray-based deterministic methods
2.2.2 Multi-polarized channels2.3 Geometry-based models; 2.3.1 One-ring model; 2.3.2 Two-ring model; 2.3.3 Combined elliptical-ring model; 2.3.4 Elliptical and circular models; 2.3.5 Extension of geometry-based models to dual-polarized channels; 2.4 Empirical models; 2.4.1 Extended Saleh-Valenzuela model; 2.4.2 Stanford University Interim channel models; 2.4.3 COST models; 2.5 Standardized models; 2.5.1 IEEE 802.11 TGn models; 2.5.2 IEEE 802.16d/e models; 2.5.3 3GPP/3GPP2 spatial channel models; 2.6 Antennas in MIMO systems; 2.6.1 About antenna arrays; 2.6.2 Mutual coupling
Chapter 3 Analytical MIMO channel representations for system design3.1 General representations of correlated MIMO channels; 3.1.1 Rayleigh fading channels; 3.1.2 Ricean fading channels; 3.1.3 Dual-polarized channels; 3.1.4 Double-Rayleigh fading model for keyhole channels; 3.2 Simplified representations of Gaussian MIMO channels; 3.2.1 The Kronecker model; 3.2.2 Virtual channel representation; 3.2.3 The eigenbeam model; 3.3 Propagation-motivated MIMO metrics; 3.3.1 Comparing models and correlation matrices; 3.3.2 Characterizing the multipath richness
3.3.3 Measuring the non-stationarity of MIMO channels
Record Nr. UNINA-9910817139203321
Oestges Claude  
Amsterdam ; ; Boston ; ; London, : Academic Press, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MIMO wireless communications / Ezio Biglieri ... [et al.]
MIMO wireless communications / Ezio Biglieri ... [et al.]
Pubbl/distr/stampa Cambridge : Cambridge University Press, 2007
Descrizione fisica xvii, 323 p. : ill. ; 26 cm
Disciplina 621.384
Altri autori (Persone) Biglieri, Ezio.author
Calderbank, Robert
Constantinides, Anthony
Goldsmith, Andrea
Paulraj, Arogyaswami
Poor, H. Vincent
Soggetto topico MIMO systems
ISBN 9780521873284
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000253869707536
Cambridge : Cambridge University Press, 2007
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
MIMO-OFDM for LTE, Wi-Fi, and WiMAX : coherent versus non-coherent and cooperative turbo-transceivers / / Lajos Hanzo ... [et al.]
MIMO-OFDM for LTE, Wi-Fi, and WiMAX : coherent versus non-coherent and cooperative turbo-transceivers / / Lajos Hanzo ... [et al.]
Autore Hanzo Lajos <1952->
Edizione [1st edition]
Pubbl/distr/stampa Chichester, West Sussex, U.K. : , : John Wiley & Sons Ltd, , 2011
Descrizione fisica 1 online resource (694 p.)
Disciplina 621.382/16
621.38216
Altri autori (Persone) HanzoLajos
Collana Wiley - IEEE
Soggetto topico Orthogonal frequency division multiplexing
MIMO systems
Wireless LANs - Equipment and supplies
IEEE 802.11 (Standard)
IEEE 802.16 (Standard)
Radio - Transmitter-receivers
ISBN 1-282-78268-1
9786612782688
0-470-71175-2
0-470-71176-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Authors -- OtherWiley and IEEE Press Books on Related Topics -- Acknowledgments -- Preface -- List of Symbols -- 1 Introduction to OFDM and MIMO-OFDM -- 1.1 OFDM History -- 1.2 OFDM Schematic -- 1.3 Channel Estimation for Multicarrier -- 1.5 Signal Detection in MIMO-OFDM Systems -- 1.6 Iterative Signal Processing for SDM-OFDM -- 1.7 System Model -- 1.8 SDM-OFDM System Model -- 1.9 Novel Aspects and Outline of the Book -- 1.10 Chapter Summary -- 2 OFDM Standards -- 2.1 Wi-Fi -- 2.2 3GPP Long-Term Evolution -- 2.3 WiMAX Evolution -- 2.4 Chapter Summary -- I Coherently Detected SDMA-OFDM Systems -- 3 Channel Coding Assisted STBC-OFDM Systems -- 3.1 Introduction -- 3.2 Space-Time Block Codes -- 3.3 Channel Coded Space-Time Block Codes -- 3.4 Channel Coding Aided Space-Time Block Coded OFDM -- 3.5 Chapter Summary -- 4 Coded Modulation Assisted Multi-User SDMA-OFDM Using Frequency-Domain Spreading -- 4.1 Introduction -- 4.2 System Model -- 4.3 Simulation Results -- 4.4 Chapter Summary -- 5 Hybrid Multi-User Detection for SDMA-OFDM Systems -- 5.1 Introduction -- 5.2 Genetical Algorithm Assisted Multi-User Detection -- 5.3 Enhanced GA-based Multi-User Detection -- 5.4 Chapter Summary -- 6 DS-Spreading and Slow Subcarrier-Hopping Aided Multi-User SDMA-OFDM Systems -- 6.1 Conventional SDMA-OFDM Systems -- 6.2 Introduction to Hybrid SDMA-OFDM -- 6.3 Subband-Hopping Versus Subcarrier-Hopping -- 6.4 System Architecture -- 6.5 Simulation Results -- 6.6 Complexity Issues -- 6.7 Conclusions -- 6.8 Chapter Summary -- 7 Channel Estimation for OFDM and MC-CDMA -- 7.1 Pilot-Assisted Channel Estimation -- 7.2 Decision Directed Channel Estimation -- 7.3 A Posteriori FD-CTF Estimation -- 7.4 A Posteriori CIR Estimation -- 7.5 Parametric FS-CIR Estimation -- 7.6 Time-Domain A Priori CIR Tap Prediction -- 7.7 PASTD Aided DDCE -- 7.8 Channel Estimation for MIMO-OFDM -- 8 Iterative Joint Channel Estimation and MUD for SDMA-OFDM Systems -- 8.1 Introduction -- 8.2 System Overview -- 8.3 GA-assisted Iterative Joint Channel Estimation and MUD.
8.4 Simulation Results -- 8.5 Conclusions -- 8.6 Chapter Summary -- II Coherent versus Non-Coherent and Cooperative OFDM Systems List of Symbols in Part II -- 9 Reduced-Complexity Sphere Detection for Uncoded SDMA-OFDM Systems -- 9.1 Introduction -- 9.2 Principle of Sphere Detection -- 9.3 Complexity-Reduction Schemes for SD -- 9.4 Comparison of the Depth-First, K-Best and OHRSA Detectors -- 9.5 Chapter Conclusions -- 10 Reduced-Complexity Iterative Sphere Detection for Channel Coded SDMA-OFDM Systems -- 10.1 Introduction -- 10.2 Channel Coded Iterative Center-Shifting SD -- 10.3 Apriori-LLR-Threshold-Assisted Low-Complexity SD -- 10.4 Unity-Rate-Code-Aided Three-Stage Iterative Receiver Employing SD -- 10.5 Chapter Conclusions -- 11 Sphere Packing Modulated STBC-OFDM and its Sphere Detection -- 11.1 Introduction -- 11.2 Orthogonal Transmit Diversity Design with Sphere Packing Modulation -- 11.3 Sphere Detection Design for Sphere Packing Modulation -- 11.4 Chapter Conclusions -- 12 Multiple-Symbol Differential Sphere Detection for Cooperative OFDM -- 12.1 Introduction -- 12.2 Principle of Single-Path Multiple-Symbol Differential Sphere Detection -- 12.3 Multi-Path MSDSD Design for Cooperative Communication -- 12.4 Chapter Conclusions -- 13 Resource Allocation for the DifferentiallyModulated Cooperative Uplink -- 13.1 Introduction -- 13.2 Performance Analysis of the Cooperation-Aided Uplink -- 13.3 Cooperating-User-Selection for the Uplink -- 13.4 Joint CPS and CUS for the Differential Cooperative Cellular Uplink Using APC -- 13.5 Chapter Conclusions -- 14 The Near-Capacity DifferentiallyModulated Cooperative Cellular Uplink -- 14.1 Introduction -- 14.2 Channel Capacity of Non-coherent Detectors -- 14.3 Soft-Input Soft-OutputMSDSD -- 14.4 Approaching the Capacity of the Differentially Modulated Cooperative Cellular Uplink -- 14.5 Chapter Conclusions -- III Coherent SDM-OFDM Systems -- 15 Multi-Stream Detection for SDM-OFDM Systems -- 15.1 SDM/V-BLAST OFDM Architecture.
15.2 Linear Detection Methods -- 15.3 Non-Linear SDM Detection Methods -- 15.4 Performance Enhancement Using Space-Frequency Interleaving -- 15.5 Performance Comparison and Discussion -- 15.6 Conclusions -- 16 Approximate Log-MAP SDM-OFDM Multi-Stream Detection -- 16.1 Optimized Hierarchy Reduced Search Algorithm-Aided SDM Detection -- 17 Iterative Channel Estimation and Multi-Stream Detection for SDM-OFDM -- 17.1 Iterative Signal Processing -- 17.2 Turbo Forward Error Correction Coding -- 17.3 Iterative Detection - Decoding -- 17.4 Iterative Channel Estimation - Detection - Decoding -- 18 Summary, Conclusions and Future Research -- 18.1 Summary of the Results -- 18.2 Suggestions for Future Research -- A Appendix to Chapter 5 -- A.1 A Brief Introduction to Genetic Algorithms -- A.2 Normalization of the Mutation-Induced Transition Probability -- Glossary -- Bibliography -- Subject Index -- Author Index.
Record Nr. UNINA-9910140755503321
Hanzo Lajos <1952->  
Chichester, West Sussex, U.K. : , : John Wiley & Sons Ltd, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MIMO-OFDM for LTE, Wi-Fi, and WiMAX : coherent versus non-coherent and cooperative turbo-transceivers / / Lajos Hanzo ... [et al.]
MIMO-OFDM for LTE, Wi-Fi, and WiMAX : coherent versus non-coherent and cooperative turbo-transceivers / / Lajos Hanzo ... [et al.]
Autore Hanzo Lajos <1952->
Edizione [1st edition]
Pubbl/distr/stampa Chichester, West Sussex, U.K. : , : John Wiley & Sons Ltd, , 2011
Descrizione fisica 1 online resource (694 p.)
Disciplina 621.382/16
621.38216
Altri autori (Persone) HanzoLajos
Collana Wiley - IEEE
Soggetto topico Orthogonal frequency division multiplexing
MIMO systems
Wireless LANs - Equipment and supplies
IEEE 802.11 (Standard)
IEEE 802.16 (Standard)
Radio - Transmitter-receivers
ISBN 1-282-78268-1
9786612782688
0-470-71175-2
0-470-71176-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Authors -- OtherWiley and IEEE Press Books on Related Topics -- Acknowledgments -- Preface -- List of Symbols -- 1 Introduction to OFDM and MIMO-OFDM -- 1.1 OFDM History -- 1.2 OFDM Schematic -- 1.3 Channel Estimation for Multicarrier -- 1.5 Signal Detection in MIMO-OFDM Systems -- 1.6 Iterative Signal Processing for SDM-OFDM -- 1.7 System Model -- 1.8 SDM-OFDM System Model -- 1.9 Novel Aspects and Outline of the Book -- 1.10 Chapter Summary -- 2 OFDM Standards -- 2.1 Wi-Fi -- 2.2 3GPP Long-Term Evolution -- 2.3 WiMAX Evolution -- 2.4 Chapter Summary -- I Coherently Detected SDMA-OFDM Systems -- 3 Channel Coding Assisted STBC-OFDM Systems -- 3.1 Introduction -- 3.2 Space-Time Block Codes -- 3.3 Channel Coded Space-Time Block Codes -- 3.4 Channel Coding Aided Space-Time Block Coded OFDM -- 3.5 Chapter Summary -- 4 Coded Modulation Assisted Multi-User SDMA-OFDM Using Frequency-Domain Spreading -- 4.1 Introduction -- 4.2 System Model -- 4.3 Simulation Results -- 4.4 Chapter Summary -- 5 Hybrid Multi-User Detection for SDMA-OFDM Systems -- 5.1 Introduction -- 5.2 Genetical Algorithm Assisted Multi-User Detection -- 5.3 Enhanced GA-based Multi-User Detection -- 5.4 Chapter Summary -- 6 DS-Spreading and Slow Subcarrier-Hopping Aided Multi-User SDMA-OFDM Systems -- 6.1 Conventional SDMA-OFDM Systems -- 6.2 Introduction to Hybrid SDMA-OFDM -- 6.3 Subband-Hopping Versus Subcarrier-Hopping -- 6.4 System Architecture -- 6.5 Simulation Results -- 6.6 Complexity Issues -- 6.7 Conclusions -- 6.8 Chapter Summary -- 7 Channel Estimation for OFDM and MC-CDMA -- 7.1 Pilot-Assisted Channel Estimation -- 7.2 Decision Directed Channel Estimation -- 7.3 A Posteriori FD-CTF Estimation -- 7.4 A Posteriori CIR Estimation -- 7.5 Parametric FS-CIR Estimation -- 7.6 Time-Domain A Priori CIR Tap Prediction -- 7.7 PASTD Aided DDCE -- 7.8 Channel Estimation for MIMO-OFDM -- 8 Iterative Joint Channel Estimation and MUD for SDMA-OFDM Systems -- 8.1 Introduction -- 8.2 System Overview -- 8.3 GA-assisted Iterative Joint Channel Estimation and MUD.
8.4 Simulation Results -- 8.5 Conclusions -- 8.6 Chapter Summary -- II Coherent versus Non-Coherent and Cooperative OFDM Systems List of Symbols in Part II -- 9 Reduced-Complexity Sphere Detection for Uncoded SDMA-OFDM Systems -- 9.1 Introduction -- 9.2 Principle of Sphere Detection -- 9.3 Complexity-Reduction Schemes for SD -- 9.4 Comparison of the Depth-First, K-Best and OHRSA Detectors -- 9.5 Chapter Conclusions -- 10 Reduced-Complexity Iterative Sphere Detection for Channel Coded SDMA-OFDM Systems -- 10.1 Introduction -- 10.2 Channel Coded Iterative Center-Shifting SD -- 10.3 Apriori-LLR-Threshold-Assisted Low-Complexity SD -- 10.4 Unity-Rate-Code-Aided Three-Stage Iterative Receiver Employing SD -- 10.5 Chapter Conclusions -- 11 Sphere Packing Modulated STBC-OFDM and its Sphere Detection -- 11.1 Introduction -- 11.2 Orthogonal Transmit Diversity Design with Sphere Packing Modulation -- 11.3 Sphere Detection Design for Sphere Packing Modulation -- 11.4 Chapter Conclusions -- 12 Multiple-Symbol Differential Sphere Detection for Cooperative OFDM -- 12.1 Introduction -- 12.2 Principle of Single-Path Multiple-Symbol Differential Sphere Detection -- 12.3 Multi-Path MSDSD Design for Cooperative Communication -- 12.4 Chapter Conclusions -- 13 Resource Allocation for the DifferentiallyModulated Cooperative Uplink -- 13.1 Introduction -- 13.2 Performance Analysis of the Cooperation-Aided Uplink -- 13.3 Cooperating-User-Selection for the Uplink -- 13.4 Joint CPS and CUS for the Differential Cooperative Cellular Uplink Using APC -- 13.5 Chapter Conclusions -- 14 The Near-Capacity DifferentiallyModulated Cooperative Cellular Uplink -- 14.1 Introduction -- 14.2 Channel Capacity of Non-coherent Detectors -- 14.3 Soft-Input Soft-OutputMSDSD -- 14.4 Approaching the Capacity of the Differentially Modulated Cooperative Cellular Uplink -- 14.5 Chapter Conclusions -- III Coherent SDM-OFDM Systems -- 15 Multi-Stream Detection for SDM-OFDM Systems -- 15.1 SDM/V-BLAST OFDM Architecture.
15.2 Linear Detection Methods -- 15.3 Non-Linear SDM Detection Methods -- 15.4 Performance Enhancement Using Space-Frequency Interleaving -- 15.5 Performance Comparison and Discussion -- 15.6 Conclusions -- 16 Approximate Log-MAP SDM-OFDM Multi-Stream Detection -- 16.1 Optimized Hierarchy Reduced Search Algorithm-Aided SDM Detection -- 17 Iterative Channel Estimation and Multi-Stream Detection for SDM-OFDM -- 17.1 Iterative Signal Processing -- 17.2 Turbo Forward Error Correction Coding -- 17.3 Iterative Detection - Decoding -- 17.4 Iterative Channel Estimation - Detection - Decoding -- 18 Summary, Conclusions and Future Research -- 18.1 Summary of the Results -- 18.2 Suggestions for Future Research -- A Appendix to Chapter 5 -- A.1 A Brief Introduction to Genetic Algorithms -- A.2 Normalization of the Mutation-Induced Transition Probability -- Glossary -- Bibliography -- Subject Index -- Author Index.
Record Nr. UNINA-9910830907403321
Hanzo Lajos <1952->  
Chichester, West Sussex, U.K. : , : John Wiley & Sons Ltd, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MIMO-OFDM wireless communications with MATLAB / / Yong Soo Cho ... [et al.]
MIMO-OFDM wireless communications with MATLAB / / Yong Soo Cho ... [et al.]
Pubbl/distr/stampa Singapore : , : John Wiley & Sons (Asia), , 2010
Descrizione fisica 1 online resource (457 pages)
Disciplina 621.384
Altri autori (Persone) ChoYong Soo
Soggetto topico Orthogonal frequency division multiplexing
MIMO systems
ISBN 1-282-77329-1
9786612773297
0-470-82563-4
0-470-82562-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Limits of Liability and Disclaimer of Warranty of Software -- 1 The Wireless Channel: Propagation and Fading -- 1.1 Large-Scale Fading -- 1.1.1 General Path Loss Model -- 1.1.2 Okumura/Hata Model -- 1.1.3 IEEE 802.16d Model -- 1.2 Small-Scale Fading -- 1.2.1 Parameters for Small-Scale Fading -- 1.2.2 Time-Dispersive vs. Frequency-Dispersive Fading -- 1.2.3 Statistical Characterization and Generation of Fading Channel -- 2 SISO Channel Models -- 2.1 Indoor Channel Models -- 2.1.1 General Indoor Channel Models -- 2.1.2 IEEE 802.11 Channel Model -- 2.1.3 Saleh-Valenzuela (S-V) Channel Model -- 2.1.4 UWB Channel Model -- 2.2 Outdoor Channel Models -- 2.2.1 FWGN Model -- 2.2.2 Jakes Model -- 2.2.3 Ray-Based Channel Model -- 2.2.4 Frequency-Selective Fading Channel Model -- 2.2.5 SUI Channel Model -- 3 MIMO Channel Models -- 3.1 Statistical MIMO Model -- 3.1.1 Spatial Correlation -- 3.1.2 PAS Model -- 3.2 I-METRA MIMO Channel Model -- 3.2.1 Statistical Model of Correlated MIMO Fading Channel -- 3.2.2 Generation of Correlated MIMO Channel Coefficients -- 3.2.3 I-METRA MIMO Channel Model -- 3.2.4 3GPP MIMO Channel Model -- 3.3 SCM MIMO Channel Model -- 3.3.1 SCM Link-Level Channel Parameters -- 3.3.2 SCM Link-Level Channel Modeling -- 3.3.3 Spatial Correlation of Ray-Based Channel Model -- 4 Introduction to OFDM -- 4.1 Single-Carrier vs. Multi-Carrier Transmission -- 4.1.1 Single-Carrier Transmission -- 4.1.2 Multi-Carrier Transmission -- 4.1.3 Single-Carrier vs. Multi-Carrier Transmission -- 4.2 Basic Principle of OFDM -- 4.2.1 OFDM Modulation and Demodulation -- 4.2.2 OFDM Guard Interval -- 4.2.3 OFDM Guard Band -- 4.2.4 BER of OFDM Scheme -- 4.2.5 Water-Filling Algorithm for Frequency-Domain Link Adaptation -- 4.3 Coded OFDM -- 4.4 OFDMA: Multiple Access Extensions of OFDM -- 4.4.1 Resource Allocation - Subchannel Allocation Types -- 4.4.2 Resource Allocation - Subchannelization -- 4.5 Duplexing -- 5 Synchronization for OFDM -- 5.1 Effect of STO -- 5.2 Effect of CFO.
5.2.1 Effect of Integer Carrier Frequency Offset (IFO) -- 5.2.2 Effect of Fractional Carrier Frequency Offset (FFO) -- 5.3 Estimation Techniques for STO -- 5.3.1 Time-Domain Estimation Techniques for STO -- 5.3.2 Frequency-Domain Estimation Techniques for STO -- 5.4 Estimation Techniques for CFO -- 5.4.1 Time-Domain Estimation Techniques for CFO -- 5.4.2 Frequency-Domain Estimation Techniques for CFO -- 5.5 Effect of Sampling Clock Offset -- 5.5.1 Effect of Phase Offset in Sampling Clocks -- 5.5.2 Effect of Frequency Offset in Sampling Clocks -- 5.6 Compensation for Sampling Clock Offset -- 5.7 Synchronization in Cellular Systems -- 5.7.1 Downlink Synchronization -- 5.7.2 Uplink Synchronization -- 6 Channel Estimation -- 6.1 Pilot Structure -- 6.1.1 Block Type -- 6.1.2 Comb Type -- 6.1.3 Lattice Type -- 6.2 Training Symbol-Based Channel Estimation -- 6.2.1 LS Channel Estimation -- 6.2.2 MMSE Channel Estimation -- 6.3 DFT-Based Channel Estimation -- 6.4 Decision-Directed Channel Estimation -- 6.5 Advanced Channel Estimation Techniques -- 6.5.1 Channel Estimation Using a Superimposed Signal -- 6.5.2 Channel Estimation in Fast Time-Varying Channels -- 6.5.3 EM Algorithm-Based Channel Estimation -- 6.5.4 Blind Channel Estimation -- 7 PAPR Reduction -- 7.1 Introduction to PAPR -- 7.1.1 Definition of PAPR -- 7.1.2 Distribution of OFDM Signal -- 7.1.3 PAPR and Oversampling -- 7.1.4 Clipping and SQNR -- 7.2 PAPR Reduction Techniques -- 7.2.1 Clipping and Filtering -- 7.2.2 PAPR Reduction Code -- 7.2.3 Selective Mapping -- 7.2.4 Partial Transmit Sequence -- 7.2.5 Tone Reservation -- 7.2.6 Tone Injection -- 7.2.7 DFT Spreading -- 8 Inter-Cell Interference Mitigation Techniques -- 8.1 Inter-Cell Interference Coordination Technique -- 8.1.1 Fractional Frequency Reuse -- 8.1.2 Soft Frequency Reuse -- 8.1.3 Flexible Fractional Frequency Reuse -- 8.1.4 Dynamic Channel Allocation -- 8.2 Inter-Cell Interference Randomization Technique -- 8.2.1 Cell-Specific Scrambling -- 8.2.2 Cell-Specific Interleaving.
8.2.3 Frequency-Hopping OFDMA -- 8.2.4 Random Subcarrier Allocation -- 8.3 Inter-Cell Interference Cancellation Technique -- 8.3.1 Interference Rejection Combining Technique -- 8.3.2 IDMA Multiuser Detection -- 9 MIMO: Channel Capacity -- 9.1 Useful Matrix Theory -- 9.2 Deterministic MIMO Channel Capacity -- 9.2.1 Channel Capacity when CSI is Known to the Transmitter Side -- 9.2.2 Channel Capacity when CSI is Not Available at the Transmitter Side -- 9.2.3 Channel Capacity of SIMO and MISO Channels -- 9.3 Channel Capacity of Random MIMO Channels -- 10 Antenna Diversity and Space-Time Coding Techniques -- 10.1 Antenna Diversity -- 10.1.1 Receive Diversity -- 10.1.2 Transmit Diversity -- 10.2 Space-Time Coding (STC): Overview -- 10.2.1 System Model -- 10.2.2 Pairwise Error Probability -- 10.2.3 Space-Time Code Design -- 10.3 Space-Time Block Code (STBC) -- 10.3.1 Alamouti Space-Time Code -- 10.3.2 Generalization of Space-Time Block Coding -- 10.3.3 Decoding for Space-Time Block Codes -- 10.3.4 Space-Time Trellis Code -- 11 Signal Detection for Spatially Multiplexed MIMO Systems -- 11.1 Linear Signal Detection -- 11.1.1 ZF Signal Detection -- 11.1.2 MMSE Signal Detection -- 11.2 OSIC Signal Detection -- 11.3 ML Signal Detection -- 11.4 Sphere Decoding Method -- 11.5 QRM-MLD Method -- 11.6 Lattice Reduction-Aided Detection -- 11.6.1 Lenstra-Lenstra-Lovasz (LLL) Algorithm -- 11.6.2 Application of Lattice Reduction -- 11.7 Soft Decision for MIMO Systems -- 11.7.1 Log-Likelihood-Ratio (LLR) for SISO Systems -- 11.7.2 LLR for Linear Detector-Based MIMO System -- 11.7.3 LLR for MIMO System with a Candidate Vector Set -- 11.7.4 LLR for MIMO System Using a Limited Candidate Vector Set -- Appendix 11.A Derivation of Equation (11.23) -- 12 Exploiting Channel State Information at the Transmitter Side -- 12.1 Channel Estimation on the Transmitter Side -- 12.1.1 Using Channel Reciprocity -- 12.1.2 CSI Feedback -- 12.2 Precoded OSTBC -- 12.3 Precoded Spatial-Multiplexing System -- 12.4 Antenna Selection Techniques.
12.4.1 Optimum Antenna Selection Technique -- 12.4.2 Complexity-Reduced Antenna Selection -- 12.4.3 Antenna Selection for OSTBC -- 13 Multi-User MIMO -- 13.1 Mathematical Model for Multi-User MIMO System -- 13.2 Channel Capacity of Multi-User MIMO System -- 13.2.1 Capacity of MAC -- 13.2.2 Capacity of BC -- 13.3 Transmission Methods for Broadcast Channel -- 13.3.1 Channel Inversion -- 13.3.2 Block Diagonalization -- 13.3.3 Dirty Paper Coding (DPC) -- 13.3.4 Tomlinson-Harashima Precoding -- References -- Index.
Record Nr. UNINA-9910140802503321
Singapore : , : John Wiley & Sons (Asia), , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multiple-input multiple-output channel models : theory and practice / / Nelson Costa, Simon Haykin
Multiple-input multiple-output channel models : theory and practice / / Nelson Costa, Simon Haykin
Autore Costa Nelson <1975->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , c2010
Descrizione fisica 1 online resource (248 p.)
Disciplina 621.382
621.384
Altri autori (Persone) HaykinSimon S. <1931->
Collana Adaptive and cognitive dynamic systems: signal processing, learning, communications and control
Soggetto topico MIMO systems
Wireless communication systems
ISBN 1-282-65652-X
9786612656521
0-470-59067-X
0-470-59066-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Chapter 1: Introduction -- 1.1 Historical Perspective -- 1.1.1 Electromagnetism -- 1.1.2 The Hertz Transmitter -- 1.1.3 Tesla and Wireless Power -- 1.1.4 Lodge and Tunable Circuits -- 1.1.5 Marconi and Trans-Atlantic Communication -- 1.2 MIMO Communications -- 1.3 MIMO Channel Models -- 1.3.1 The Channel Model Spectrum -- 1.3.2 Wideband MIMO Channel Models -- 1.4 Software Defined Radio -- 1.5 Overview -- 1.5.1 Chapter 2: Multiple Antenna Channels and Correlation -- 1.5.2 Chapter 3: Correlative Models -- 1.5.3 Chapter 4: Cluster Models -- 1.5.4 Chapter 5: Channel Sounding -- 1.5.5 Chapter 6: Experimental Validation -- 1.5.6 Appendices: Background and Definitions -- Chapter 2: Multiple Antenna Channels and Correlation -- 2.1 The Radio Channel: Definitions -- 2.1.1 The Physical Channel -- 2.1.2 The Analytical Channel -- 2.2 Channel Classifications -- 2.2.1 Linear Time-Invariant Channels -- 2.2.2 Time-Invariant Narrowband Channels -- 2.2.3 Time-Varying Wideband Channels and Bello's Model -- 2.2.4 The Tapped-Delay Line Model and the Physical Channel -- 2.2.5 Narrowband Diversity Channels -- 2.2.6 The Narrowband MIMO Channel -- 2.2.7 The Wideband MIMO Channel -- 2.2.8 The Wideband MIMO Channel Recast Using Tensors -- 2.3 Summary of Channel Classifications -- 2.4 Second-Order Statistics of Multiple Antenna Channels -- 2.4.1 Second-Order Statistics of the Vector Channel -- 2.4.2 Second-Order Statistics of the Narrowband MIMO Channel -- 2.5 Second-order Statistics of the Wideband MIMO Channel -- 2.5.1 Eigenvalue Decomposition of the Wideband Correlation Matrix -- 2.6 Spatial Structure of Multiple Antenna Channels -- 2.6.1 SIMO Channels and Beamformers -- 2.6.2 MIMO Beamformers -- 2.7 Summary and Discussion -- 2.7.1 Channel Classifications -- 2.7.2 Multi-Antenna Channels -- 2.7.3 Spatial Structure and the APS -- 2.8 Notes and References -- 2.8.1 Channel Classifications -- 2.8.2 Second-Order Statistics of Multi-Antenna Channels -- 2.8.3 The Spatial Structure of Multi-Antenna Channels.
Chapter 3: Correlative Models -- 3.1 Vector Channel Synthesis from the Vector Correlation Matrix -- 3.2 Matrix Channel Synthesis from the Narrowband Correlation Matrix -- 3.2.1 Number of Model Parameters -- 3.3 One-Sided Correlation for Narrowband MIMO Channels -- 3.4 The Kronecker Model -- 3.4.1 The Narrowband Kronecker Model -- 3.4.2 The Wideband Kronecker Model -- 3.4.3 Notes on the Narrowband and Wideband Kronecker Models -- 3.5 The Weichselberger Model -- 3.5.1 The Vector Mode Model -- 3.5.2 H-matrix From Structured Vector Modes -- 3.6 The Structured Model -- 3.6.1 H-Tensor Synthesis from the Wideband Correlation Tensor -- 3.6.2 One-Sided Correlation for Wideband MIMO Channels. -- 3.6.3 Approximating the Wideband Correlation Matrix -- 3.6.4 Number of Parameters Comparison -- 3.7 Summary and Discussion -- 3.7.1 The Kronecker Model -- 3.7.2 The Weichselberger Model -- 3.7.3 The Structured Model -- 3.8 Notes and References -- 3.8.1 Correlative Models -- 3.8.2 Tensor Decomposition -- Chapter 4: Cluster Models -- 4.1 What is a Cluster? -- 4.2 The Saleh-Valenzuela Model -- 4.2.1 Model Summary -- 4.2.2 Model Implementation -- 4.2.3 Some Typical Parameters -- 4.3 Clusters in Time and Space -- 4.3.1 Azimuth, Elevation, and Delay Spreads -- 4.4 The Extended Saleh-Valenzuela Model -- 4.5 The COST 273 Model -- 4.5.1 Generic Channel Model -- 4.5.2 Environments -- 4.5.3 Receiver, Transmitter Placement -- 4.5.4 COST 273 Procedure -- 4.5.5 Features Not Yet Implemented and Omissions -- 4.5.6 Advantages/Disadvantages: COST 273 -- 4.6 The Random Cluster Model (RCM) -- 4.6.1 General Description -- 4.6.2 Determining the Environment PDF -- 4.6.3 Advantages/Disadvantages: The RCM -- 4.7 Summary and Discussion -- 4.8 Notes and References -- Chapter 5: Channel Sounding -- 5.1 Introduction -- 5.2 The WMSDR -- 5.2.1 Transmission -- 5.2.2 Reception -- 5.2.3 Timing and Carrier Offsets -- 5.3 Narrowband Channel Sounding -- 5.3.1 Periodic Pulse Sounding -- 5.3.2 Narrowband Single-Input, Single-Output Channel Sounding.
5.3.3 Narrowband MIMO Channel Sounding -- 5.4 Wideband Sounding: Correlative Sounding -- 5.4.1 ML-sequences -- 5.4.2 Cross-Correlation Using the FFT -- 5.4.3 Digital Matched Filters -- 5.5 Wideband Sounding: Sampled Spectrum Channel Sounding -- 5.6 Switched-array Architectures -- 5.7 Timing and Carrier Recovery -- 5.7.1 Digital Timing Recovery Methods -- 5.7.2 Phase Recovery Using a Decision Directed Feedback Loop -- 5.8 Summary and Discussion -- 5.9 Notes and References -- Chapter 6: Experimental Verifications -- 6.1 Validation Metrics -- 6.1.1 Channel Capacity -- 6.1.2 The Diversity and Correlation Metrics -- 6.1.3 The Demmel Condition Number -- 6.1.4 The Environmental Characterization Metric -- 6.1.5 Correlation Matrix Difference Metric -- 6.2 WMSDR Experimental Setup -- 6.2.1 Terminology -- 6.2.2 Measurement Description -- 6.3 BYU Wideband Channel Sounder Experimental Setup -- 6.3.1 BYU Transmitter Set -- 6.3.2 BYU Receiver Set -- 6.3.3 Measurement Description -- 6.4 Experimental Results -- 6.4.1 Capacity Measure: Methodology -- 6.4.2 Results: MIMO APS and Spatial Structure -- 6.4.3 Results: Wideband Correlation Matrices -- 6.5 Discussion -- 6.5.1 Accuracy of the Results -- 6.5.2 Sources of Error -- 6.6 Summary and Discussion -- 6.7 Notes and References -- Appendix A: An Introduction to Tensor Algebra -- Appendix B: Proof of Theorems from Chapter 3 -- Appendix C: COST 273 Model Summary -- Glossary -- Bibliography -- Index.
Record Nr. UNINA-9910140741603321
Costa Nelson <1975->  
Hoboken, New Jersey : , : Wiley, , c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multiple-input multiple-output channel models : theory and practice / / Nelson Costa, Simon Haykin
Multiple-input multiple-output channel models : theory and practice / / Nelson Costa, Simon Haykin
Autore Costa Nelson <1975->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , c2010
Descrizione fisica 1 online resource (248 p.)
Disciplina 621.382
621.384
Altri autori (Persone) HaykinSimon S. <1931->
Collana Adaptive and cognitive dynamic systems: signal processing, learning, communications and control
Soggetto topico MIMO systems
Wireless communication systems
ISBN 1-282-65652-X
9786612656521
0-470-59067-X
0-470-59066-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Chapter 1: Introduction -- 1.1 Historical Perspective -- 1.1.1 Electromagnetism -- 1.1.2 The Hertz Transmitter -- 1.1.3 Tesla and Wireless Power -- 1.1.4 Lodge and Tunable Circuits -- 1.1.5 Marconi and Trans-Atlantic Communication -- 1.2 MIMO Communications -- 1.3 MIMO Channel Models -- 1.3.1 The Channel Model Spectrum -- 1.3.2 Wideband MIMO Channel Models -- 1.4 Software Defined Radio -- 1.5 Overview -- 1.5.1 Chapter 2: Multiple Antenna Channels and Correlation -- 1.5.2 Chapter 3: Correlative Models -- 1.5.3 Chapter 4: Cluster Models -- 1.5.4 Chapter 5: Channel Sounding -- 1.5.5 Chapter 6: Experimental Validation -- 1.5.6 Appendices: Background and Definitions -- Chapter 2: Multiple Antenna Channels and Correlation -- 2.1 The Radio Channel: Definitions -- 2.1.1 The Physical Channel -- 2.1.2 The Analytical Channel -- 2.2 Channel Classifications -- 2.2.1 Linear Time-Invariant Channels -- 2.2.2 Time-Invariant Narrowband Channels -- 2.2.3 Time-Varying Wideband Channels and Bello's Model -- 2.2.4 The Tapped-Delay Line Model and the Physical Channel -- 2.2.5 Narrowband Diversity Channels -- 2.2.6 The Narrowband MIMO Channel -- 2.2.7 The Wideband MIMO Channel -- 2.2.8 The Wideband MIMO Channel Recast Using Tensors -- 2.3 Summary of Channel Classifications -- 2.4 Second-Order Statistics of Multiple Antenna Channels -- 2.4.1 Second-Order Statistics of the Vector Channel -- 2.4.2 Second-Order Statistics of the Narrowband MIMO Channel -- 2.5 Second-order Statistics of the Wideband MIMO Channel -- 2.5.1 Eigenvalue Decomposition of the Wideband Correlation Matrix -- 2.6 Spatial Structure of Multiple Antenna Channels -- 2.6.1 SIMO Channels and Beamformers -- 2.6.2 MIMO Beamformers -- 2.7 Summary and Discussion -- 2.7.1 Channel Classifications -- 2.7.2 Multi-Antenna Channels -- 2.7.3 Spatial Structure and the APS -- 2.8 Notes and References -- 2.8.1 Channel Classifications -- 2.8.2 Second-Order Statistics of Multi-Antenna Channels -- 2.8.3 The Spatial Structure of Multi-Antenna Channels.
Chapter 3: Correlative Models -- 3.1 Vector Channel Synthesis from the Vector Correlation Matrix -- 3.2 Matrix Channel Synthesis from the Narrowband Correlation Matrix -- 3.2.1 Number of Model Parameters -- 3.3 One-Sided Correlation for Narrowband MIMO Channels -- 3.4 The Kronecker Model -- 3.4.1 The Narrowband Kronecker Model -- 3.4.2 The Wideband Kronecker Model -- 3.4.3 Notes on the Narrowband and Wideband Kronecker Models -- 3.5 The Weichselberger Model -- 3.5.1 The Vector Mode Model -- 3.5.2 H-matrix From Structured Vector Modes -- 3.6 The Structured Model -- 3.6.1 H-Tensor Synthesis from the Wideband Correlation Tensor -- 3.6.2 One-Sided Correlation for Wideband MIMO Channels. -- 3.6.3 Approximating the Wideband Correlation Matrix -- 3.6.4 Number of Parameters Comparison -- 3.7 Summary and Discussion -- 3.7.1 The Kronecker Model -- 3.7.2 The Weichselberger Model -- 3.7.3 The Structured Model -- 3.8 Notes and References -- 3.8.1 Correlative Models -- 3.8.2 Tensor Decomposition -- Chapter 4: Cluster Models -- 4.1 What is a Cluster? -- 4.2 The Saleh-Valenzuela Model -- 4.2.1 Model Summary -- 4.2.2 Model Implementation -- 4.2.3 Some Typical Parameters -- 4.3 Clusters in Time and Space -- 4.3.1 Azimuth, Elevation, and Delay Spreads -- 4.4 The Extended Saleh-Valenzuela Model -- 4.5 The COST 273 Model -- 4.5.1 Generic Channel Model -- 4.5.2 Environments -- 4.5.3 Receiver, Transmitter Placement -- 4.5.4 COST 273 Procedure -- 4.5.5 Features Not Yet Implemented and Omissions -- 4.5.6 Advantages/Disadvantages: COST 273 -- 4.6 The Random Cluster Model (RCM) -- 4.6.1 General Description -- 4.6.2 Determining the Environment PDF -- 4.6.3 Advantages/Disadvantages: The RCM -- 4.7 Summary and Discussion -- 4.8 Notes and References -- Chapter 5: Channel Sounding -- 5.1 Introduction -- 5.2 The WMSDR -- 5.2.1 Transmission -- 5.2.2 Reception -- 5.2.3 Timing and Carrier Offsets -- 5.3 Narrowband Channel Sounding -- 5.3.1 Periodic Pulse Sounding -- 5.3.2 Narrowband Single-Input, Single-Output Channel Sounding.
5.3.3 Narrowband MIMO Channel Sounding -- 5.4 Wideband Sounding: Correlative Sounding -- 5.4.1 ML-sequences -- 5.4.2 Cross-Correlation Using the FFT -- 5.4.3 Digital Matched Filters -- 5.5 Wideband Sounding: Sampled Spectrum Channel Sounding -- 5.6 Switched-array Architectures -- 5.7 Timing and Carrier Recovery -- 5.7.1 Digital Timing Recovery Methods -- 5.7.2 Phase Recovery Using a Decision Directed Feedback Loop -- 5.8 Summary and Discussion -- 5.9 Notes and References -- Chapter 6: Experimental Verifications -- 6.1 Validation Metrics -- 6.1.1 Channel Capacity -- 6.1.2 The Diversity and Correlation Metrics -- 6.1.3 The Demmel Condition Number -- 6.1.4 The Environmental Characterization Metric -- 6.1.5 Correlation Matrix Difference Metric -- 6.2 WMSDR Experimental Setup -- 6.2.1 Terminology -- 6.2.2 Measurement Description -- 6.3 BYU Wideband Channel Sounder Experimental Setup -- 6.3.1 BYU Transmitter Set -- 6.3.2 BYU Receiver Set -- 6.3.3 Measurement Description -- 6.4 Experimental Results -- 6.4.1 Capacity Measure: Methodology -- 6.4.2 Results: MIMO APS and Spatial Structure -- 6.4.3 Results: Wideband Correlation Matrices -- 6.5 Discussion -- 6.5.1 Accuracy of the Results -- 6.5.2 Sources of Error -- 6.6 Summary and Discussion -- 6.7 Notes and References -- Appendix A: An Introduction to Tensor Algebra -- Appendix B: Proof of Theorems from Chapter 3 -- Appendix C: COST 273 Model Summary -- Glossary -- Bibliography -- Index.
Record Nr. UNINA-9910831023303321
Costa Nelson <1975->  
Hoboken, New Jersey : , : Wiley, , c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Near-capacity multi-functional MIMO systems : sphere-packing, iterative detection and cooperation / / Lajos Hanzo ... [et al.]
Near-capacity multi-functional MIMO systems : sphere-packing, iterative detection and cooperation / / Lajos Hanzo ... [et al.]
Pubbl/distr/stampa Chichester, UK : , : Wiley, , 2009
Descrizione fisica 1 online resource (740 p.)
Disciplina 621.382
Altri autori (Persone) HanzoLajos <1952->
Collana Wiley - iee
Soggetto topico MIMO systems
Wireless communication systems
ISBN 1-282-12356-4
9786612123566
0-470-74471-5
0-470-74470-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Authors -- OtherWiley?IEEE Press Books on Related Topics -- Preface -- Acknowledgments -- 1 Problem Formulation, Objectives and Benefits -- 1.1 TheWireless Channel and the Concept of Diversity -- 1.2 Diversity and Multiplexing Trade-offs in Multi-functional MIMO Systems -- 1.3 Coherent versus Non-coherent Detection for STBCs Using Co-located and Cooperative Antenna Elements -- 1.4 Historical Perspective and State-of-the-Art Contributions -- 1.5 Iterative Detection Schemes and their Convergence Analysis -- 1.6 Outline and Novel Aspects of the Monograph -- Part I Coherent Versus Differential Turbo Detection of Sphere-packing-aided Single-user MIMO Systems -- List of Symbols in Part I -- 2 Space-Time Block Code Design using Sphere Packing -- 2.1 Introduction -- 2.2 Design Criteria for Space-Time Signals -- 2.3 Design Criteria for Time-correlated Fading Channels -- 2.4 Orthogonal Space-Time Code Design using SP -- 2.5 STBC-SP Performance -- 2.6 Chapter Conclusions -- 2.7 Chapter Summary -- 3 Turbo Detection of Channel-coded STBC-SP Schemes -- 3.1 Introduction -- 3.2 System Overview -- 3.3 Iterative Demapping -- 3.4 Binary EXIT Chart Analysis -- 3.5 Performance of Turbo-detected Bit-based STBC-SP Schemes -- 3.6 Chapter Conclusions -- 3.7 Chapter Summary -- 4 Turbo Detection of Channel-coded DSTBC-SP Schemes -- 4.1 Introduction -- 4.2 Differential STBC using SP Modulation -- 4.3 Bit-based RSC-coded Turbo-detected DSTBC-SP Scheme -- 4.4 Chapter Conclusions -- 4.5 Chapter Summary -- 5 Three-stage Turbo-detected STBC-SP Schemes -- 5.1 Introduction -- 5.2 System Overview -- 5.3 EXIT Chart Analysis -- 5.4 Maximum Achievable Bandwidth Efficiency -- 5.5 Performance of Three-stageTurbo-detected STBC-SP Schemes -- 5.6 Chapter Conclusions -- 5.7 Chapter Summary -- 6 Symbol-based Channel-coded STBC-SP Schemes -- 6.1 Introduction -- 6.2 System Overview -- 6.3 Symbol-based Iterative Decoding -- 6.4 Non-binary EXIT Chart Analysis -- 6.5 Performance of Bit-based and Symbol-based LDPC-coded STBC-SP Schemes.
6.6 Chapter Conclusions -- 6.7 Chapter Summary -- Part II Coherent Versus Differential Turbo Detection of Single-user and Cooperative MIMOs -- List of Symbols in Part II -- 7 Linear Dispersion Codes: An EXIT Chart Perspective -- 7.1 Introduction and Outline -- 7.2 Linear Dispersion Codes -- 7.3 Link Between STBCs and LDCs -- 7.4 EXIT-chart-based Design of LDCs -- 7.5 EXIT-chart-based Design of IR-PLDCs -- 7.6 Conclusion -- 8 Differential Space-Time Block Codes: A Universal Approach -- 8.1 Introduction and Outline -- 8.2 System Model -- 8.3 DOSTBCs -- 8.4 DLDCs -- 8.5 RSC-coded Precoder-aided DOSTBCs -- 8.6 IRCC-coded Precoder-aided DLDCs -- 8.7 Conclusion -- 9 Cooperative Space-Time Block Codes -- 9.1 Introduction and Outline -- 9.2 Twin-layer CLDCs -- 9.3 IRCC-coded Precoder-aided CLDCs -- 9.4 Conclusion -- Part III Differential Turbo Detection of Multi-functional MIMO-aided Multi-user and Cooperative Systems -- List of Symbols in Part III -- 10 Differential Space-Time Spreading -- 10.1 Introduction -- 10.2 DPSK -- 10.3 DSTS Designusing Two Transmit Antennas -- 10.4 DSTS Design Using Four Transmit Antennas -- 10.5 Chapter Conclusions -- 10.6 Chapter Summary -- 11 Iterative Detection of Channel-coded DSTS Schemes -- 11.1 Introduction -- 11.2 Iterative Detection of RSC-coded DSTS Schemes -- 11.3 Iterative Detection of RSC-coded and Unity-rate Precoded Four-antenna-aided DSTS-SP System -- 11.4 Chapter Conclusions -- 11.5 Chapter Summary -- 12 Adaptive DSTS-assisted Iteratively Detected SP Modulation -- 12.1 Introduction -- 12.2 System Overview -- 12.3 Adaptive DSTS-assisted SP Modulation -- 12.4 VSF-based Adaptive Rate DSTS -- 12.5 Variable-code-rate Iteratively Detected DSTS-SP System -- 12.6 Results and Discussion -- 12.7 Chapter Conclusion and Summary -- 13 Layered Steered Space-Time Codes -- 13.1 Introduction -- 13.2 LSSTCs -- 13.3 Capacity of LSSTCs -- 13.4 Iterative Detection and EXIT Chart Analysis -- 13.5 Results and Discussion -- 13.6 Chapter Conclusions -- 13.7 Chapter Summary.
14 DL LSSTS-aided Generalized MC DS-CDMA -- 14.1 Introduction -- 14.2 LSSTS-aided Generalized MCDS-CDMA -- 14.3 Increasing the Number of Users by Employing TD and FD Spreading -- 14.4 Iterative Detection and EXIT Chart Analysis -- 14.5 Results and Discussion -- 14.6 Chapter Conclusions -- 14.7 Chapter Summary -- 15 Distributed Turbo Coding -- 15.1 Introduction -- 15.2 Background of Cooperative Communications -- 15.3 DTC -- 15.4 Results and Discussion -- 15.5 Chapter Conclusions -- 15.6 Chapter Summary -- 16 Conclusions and Future Research -- 16.1 Summary and Conclusions -- 16.2 Future Research Ideas -- 16.3 Closing Remarks -- A Gray Mapping and AGM Schemes for SP Modulation of Size L=16 -- B EXIT Charts of Various Bit-based Turbo-detected STBC-SP Schemes -- C EXIT Charts of Various Bit-based Turbo-detected DSTBC-SP Schemes -- D LDCs? ? for QPSK Modulation -- E DLDCs? ? for 2PAM Modulation -- F CLDCs? ?1 and ?2 for BPSK Modulation -- G Weighting Coefficient Vectors e and ? -- H Gray Mapping and AGM Schemes for SP Modulation of Size L=16 -- Glossary -- Bibliography -- Index -- Author Index.
Record Nr. UNINA-9910146400403321
Chichester, UK : , : Wiley, , 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Near-capacity multi-functional MIMO systems : sphere-packing, iterative detection and cooperation / / Lajos Hanzo ... [et al.]
Near-capacity multi-functional MIMO systems : sphere-packing, iterative detection and cooperation / / Lajos Hanzo ... [et al.]
Pubbl/distr/stampa Chichester, UK : , : Wiley, , 2009
Descrizione fisica 1 online resource (740 p.)
Disciplina 621.382
Altri autori (Persone) HanzoLajos <1952->
Collana Wiley - iee
Soggetto topico MIMO systems
Wireless communication systems
ISBN 1-282-12356-4
9786612123566
0-470-74471-5
0-470-74470-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Authors -- OtherWiley?IEEE Press Books on Related Topics -- Preface -- Acknowledgments -- 1 Problem Formulation, Objectives and Benefits -- 1.1 TheWireless Channel and the Concept of Diversity -- 1.2 Diversity and Multiplexing Trade-offs in Multi-functional MIMO Systems -- 1.3 Coherent versus Non-coherent Detection for STBCs Using Co-located and Cooperative Antenna Elements -- 1.4 Historical Perspective and State-of-the-Art Contributions -- 1.5 Iterative Detection Schemes and their Convergence Analysis -- 1.6 Outline and Novel Aspects of the Monograph -- Part I Coherent Versus Differential Turbo Detection of Sphere-packing-aided Single-user MIMO Systems -- List of Symbols in Part I -- 2 Space-Time Block Code Design using Sphere Packing -- 2.1 Introduction -- 2.2 Design Criteria for Space-Time Signals -- 2.3 Design Criteria for Time-correlated Fading Channels -- 2.4 Orthogonal Space-Time Code Design using SP -- 2.5 STBC-SP Performance -- 2.6 Chapter Conclusions -- 2.7 Chapter Summary -- 3 Turbo Detection of Channel-coded STBC-SP Schemes -- 3.1 Introduction -- 3.2 System Overview -- 3.3 Iterative Demapping -- 3.4 Binary EXIT Chart Analysis -- 3.5 Performance of Turbo-detected Bit-based STBC-SP Schemes -- 3.6 Chapter Conclusions -- 3.7 Chapter Summary -- 4 Turbo Detection of Channel-coded DSTBC-SP Schemes -- 4.1 Introduction -- 4.2 Differential STBC using SP Modulation -- 4.3 Bit-based RSC-coded Turbo-detected DSTBC-SP Scheme -- 4.4 Chapter Conclusions -- 4.5 Chapter Summary -- 5 Three-stage Turbo-detected STBC-SP Schemes -- 5.1 Introduction -- 5.2 System Overview -- 5.3 EXIT Chart Analysis -- 5.4 Maximum Achievable Bandwidth Efficiency -- 5.5 Performance of Three-stageTurbo-detected STBC-SP Schemes -- 5.6 Chapter Conclusions -- 5.7 Chapter Summary -- 6 Symbol-based Channel-coded STBC-SP Schemes -- 6.1 Introduction -- 6.2 System Overview -- 6.3 Symbol-based Iterative Decoding -- 6.4 Non-binary EXIT Chart Analysis -- 6.5 Performance of Bit-based and Symbol-based LDPC-coded STBC-SP Schemes.
6.6 Chapter Conclusions -- 6.7 Chapter Summary -- Part II Coherent Versus Differential Turbo Detection of Single-user and Cooperative MIMOs -- List of Symbols in Part II -- 7 Linear Dispersion Codes: An EXIT Chart Perspective -- 7.1 Introduction and Outline -- 7.2 Linear Dispersion Codes -- 7.3 Link Between STBCs and LDCs -- 7.4 EXIT-chart-based Design of LDCs -- 7.5 EXIT-chart-based Design of IR-PLDCs -- 7.6 Conclusion -- 8 Differential Space-Time Block Codes: A Universal Approach -- 8.1 Introduction and Outline -- 8.2 System Model -- 8.3 DOSTBCs -- 8.4 DLDCs -- 8.5 RSC-coded Precoder-aided DOSTBCs -- 8.6 IRCC-coded Precoder-aided DLDCs -- 8.7 Conclusion -- 9 Cooperative Space-Time Block Codes -- 9.1 Introduction and Outline -- 9.2 Twin-layer CLDCs -- 9.3 IRCC-coded Precoder-aided CLDCs -- 9.4 Conclusion -- Part III Differential Turbo Detection of Multi-functional MIMO-aided Multi-user and Cooperative Systems -- List of Symbols in Part III -- 10 Differential Space-Time Spreading -- 10.1 Introduction -- 10.2 DPSK -- 10.3 DSTS Designusing Two Transmit Antennas -- 10.4 DSTS Design Using Four Transmit Antennas -- 10.5 Chapter Conclusions -- 10.6 Chapter Summary -- 11 Iterative Detection of Channel-coded DSTS Schemes -- 11.1 Introduction -- 11.2 Iterative Detection of RSC-coded DSTS Schemes -- 11.3 Iterative Detection of RSC-coded and Unity-rate Precoded Four-antenna-aided DSTS-SP System -- 11.4 Chapter Conclusions -- 11.5 Chapter Summary -- 12 Adaptive DSTS-assisted Iteratively Detected SP Modulation -- 12.1 Introduction -- 12.2 System Overview -- 12.3 Adaptive DSTS-assisted SP Modulation -- 12.4 VSF-based Adaptive Rate DSTS -- 12.5 Variable-code-rate Iteratively Detected DSTS-SP System -- 12.6 Results and Discussion -- 12.7 Chapter Conclusion and Summary -- 13 Layered Steered Space-Time Codes -- 13.1 Introduction -- 13.2 LSSTCs -- 13.3 Capacity of LSSTCs -- 13.4 Iterative Detection and EXIT Chart Analysis -- 13.5 Results and Discussion -- 13.6 Chapter Conclusions -- 13.7 Chapter Summary.
14 DL LSSTS-aided Generalized MC DS-CDMA -- 14.1 Introduction -- 14.2 LSSTS-aided Generalized MCDS-CDMA -- 14.3 Increasing the Number of Users by Employing TD and FD Spreading -- 14.4 Iterative Detection and EXIT Chart Analysis -- 14.5 Results and Discussion -- 14.6 Chapter Conclusions -- 14.7 Chapter Summary -- 15 Distributed Turbo Coding -- 15.1 Introduction -- 15.2 Background of Cooperative Communications -- 15.3 DTC -- 15.4 Results and Discussion -- 15.5 Chapter Conclusions -- 15.6 Chapter Summary -- 16 Conclusions and Future Research -- 16.1 Summary and Conclusions -- 16.2 Future Research Ideas -- 16.3 Closing Remarks -- A Gray Mapping and AGM Schemes for SP Modulation of Size L=16 -- B EXIT Charts of Various Bit-based Turbo-detected STBC-SP Schemes -- C EXIT Charts of Various Bit-based Turbo-detected DSTBC-SP Schemes -- D LDCs? ? for QPSK Modulation -- E DLDCs? ? for 2PAM Modulation -- F CLDCs? ?1 and ?2 for BPSK Modulation -- G Weighting Coefficient Vectors e and ? -- H Gray Mapping and AGM Schemes for SP Modulation of Size L=16 -- Glossary -- Bibliography -- Index -- Author Index.
Record Nr. UNINA-9910830071803321
Chichester, UK : , : Wiley, , 2009
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