Practical Guide to MIMO Radio Channel (eBook, PDF)
with MATLAB Examples
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Practical Guide to MIMO Radio Channel (eBook, PDF)
with MATLAB Examples
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This book provides an excellent reference to the MIMO radio channel In this book, the authors introduce the concept of the Multiple Input Multiple Output (MIMO) radio channel, which is an intelligent communication method based upon using multiple antennas. Moreover, the authors provide a summary of the current channel modeling approaches used by industry, academia, and standardisation bodies. Furthermore, the book is structured to allow the reader to easily progress through the chapters in order to gain an understanding of the fundamental and mathematical principles behind MIMO. It also…mehr
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- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 296
- Erscheinungstermin: 26. Januar 2012
- Englisch
- ISBN-13: 9781119944959
- Artikelnr.: 37338195
- Verlag: John Wiley & Sons
- Seitenzahl: 296
- Erscheinungstermin: 26. Januar 2012
- Englisch
- ISBN-13: 9781119944959
- Artikelnr.: 37338195
1.1 From SISO to MISO/ SIMO to MIMO 2 1.1.1 Single Input Single Output SISO
2 1.1.2 Single Input Multiple Output, SIMO, and Multiple Input Single
Output, MISO 3 1.1.3 Multiple Input Multiple Output, MIMO 6 1.2 What Do We
Need MIMO For? 7 1.2.1 The Single User Perspective 8 1.2.2 The Multiple
User Perspective 8 1.3 How Does MIMO Work? Two Analogies 10 1.3.1 The
Single User Perspective 10 1.3.2 The Multiple User Perspective 12 1.4
Conditions for MIMO to Work 13 1.5 How Long Has MIMO Been Around? 14 1.6
Where is MIMO Being Used? 15 1.7 Purpose of the Book 16 2 Capacity of MIMO
Channels 17 2.1 Some Background on Digital Communication Systems 18 2.1.1
Generation of Digital Signals 18 2.1.2 Conversion/Formatting for
Transmission 19 2.1.3 Complex Baseband Representation 19 2.1.4 Decoder 19
2.2 Notion of Capacity 20 2.2.1 Abstract Communication System 20 2.2.2
Definition of Capacity 22 2.2.3 Capacity Achieving Transceivers 23 2.3
Channel State Information and Fading 24 2.3.1 Fast and Slow Fading 24 2.3.2
Channel State Information 26 2.4 Narrowband MIMO Model 27 2.5 Capacity of
the Time-Invariant Channel 28 2.5.1 Capacity of the Time-Invariant SISO
Channel 29 2.5.2 Time-Invariant SIMO Channel 30 2.5.3 Time-Invariant MISO
Channel 32 2.5.4 Time-Invariant MIMO Channel: A Set of Parallel Independent
AWGN Channels 34 2.5.5 Maximal Achievable Rate for Fixed Input Covariance
Matrix 43 2.6 Fast Fading Channels with CSIT Distribution: Ergodic Capacity
46 2.6.1 Ergodic Capacity: Basic Principles 47 2.6.2 Fast Fading SISO
Channel with CSIT Distribution 47 2.6.3 Fast Fading SIMO Channel with CSIT
Distribution 48 2.6.4 Fast Fading MISO Channel with CSIT Distribution 49
2.6.5 Fast Fading MIMO Channels with CSIT Distribution 49 2.7 Slow Fading
Channel with CSIT Distribution: Outage Probability and Capacity with Outage
54 2.7.1 Outage: Basic Principles 55 2.7.2 Diversity to Improve
Communication Reliability 57 2.7.3 Slow Fading SISO Channels with CSIT
Distribution 58 2.7.4 Slow Fading SIMO Channel with CSIT Distribution:
Receive Diversity 60 2.7.5 Slow Fading MISO Channel with CSIT Distribution:
Transmit Diversity 60 2.7.6 Slow Fading MIMO Channel with CSIT Distribution
62 2.8 Chapter Summary Tables 67 2.9 Further Reading 73 3 MIMO Transceivers
75 3.1 MIMO Receivers 76 3.1.1 General MIMO Architecture 76 3.1.2 Maximum
Likelihood Receiver 78 3.1.3 Classes of Receivers Considered in the Chapter
78 3.1.4 Spatial Matched Filtering 80 3.1.5 Zero Forcing Receiver 86 3.1.6
MMSE Receiver 92 3.1.7 SIC Receiver and V-Blast 97 3.1.8 Performance 103
3.2 Transceivers with CSI at Transmitter and Receiver: Transmit and Receive
Beamforming 108 3.2.1 Principle of Beamforming 108 3.2.2 Multiple Transmit
and Receive Beams 109 3.2.3 Transmit Beamforming (MISO System) 111 3.2.4
Receive Beamforming (SIMO) 112 3.2.5 Single Beam MIMO: Maximal Eigenmode
Beamforming 113 3.2.6 Eigenmode Transmission 114 3.2.7 Performance of
Beamforming Schemes 118 3.3 Space-Time Block Codes 122 3.3.1 Orthogonal
Design for a 2 × 1 MISO System: Alamouti STBC 123 3.3.2 STBC for More than
Two Transmit Antennas 128 3.4 D-Blast 133 3.4.1 Diagonal Encoding 133 3.4.2
Diagonal Decoding 134 3.4.3 D-Blast: Outage Optimal 135 3.4.4 Performance
Gains 135 3.4.5 Error Propagation 136 3.4.6 Numerical Evaluations:
Comparison of D-Blast with STBC 136 3.5 Chapter Summary Tables 138 3.6
Further Reading 143 4 MIMO Channel Models 145 4.1 SISO Models and Channel
Fundamentals 146 4.1.1 Models for the Prediction of the Power 146 4.1.2
Models for the Prediction of the Temporal Variation of the Channel 152
4.1.3 Narrowband and Wideband Channels 160 4.1.4 Polarisation 166 4.1.5
Summary of Parameters Required for SISO Channel Modelling 167 4.2
Challenges in MIMO Channel Modelling 167 4.2.1 Deterministic Models 169
4.2.2 Stochastic Models 171 4.3 Summary 190 5 MIMO Antenna Design 193 5.1
Antenna Element Fundamentals 194 5.1.1 Isotropic Radiator 194 5.1.2
Directivity and Gain 195 5.1.3 Far Field and Rayleigh Distance 196 5.1.4
Three Dimensional Antenna Patterns 197 5.1.5 Impedance and Return Loss 198
5.1.6 Reciprocity 199 5.1.7 Antenna Polarisation 199 5.1.8 Mean Effective
Gain 202 5.2 Single Antenna Design 205 5.3 Designing Array Antennas for
MIMO 207 5.3.1 Spatial Correlation 207 5.3.2 Angular and Polarised
Correlation 209 5.3.3 Impact of Nonuniform Angles of Arrival 211 5.4 Impact
of Antenna Design on the MIMO Radio Channel 212 5.5 Evaluating Antenna
Impact on the MIMO Channel 217 5.5.1 A Crude Evaluation of the Impact of
Antennas on MIMO Channel Capacity 217 5.5.2 Advanced Techniques to Evaluate
MIMO Antenna Performance 219 5.6 Challenges in Compact MIMO Antenna Design
and Examples 221 5.7 Summary 223 5.7.1 Antenna Fundamentals 223 5.7.2
Designing Antenna Arrays 223 5.7.3 Practical Antennas for MIMO 223 6 MIMO
in Current and Future Standards 225 6.1 Wireless Channel Modelling in
Standards 225 6.2 Current Wireless Standards Employing MIMO and the
Corresponding Channel Models 228 6.2.1 IEEE 802.11n 228 6.2.2 IEEE
802.16-WiMAX 231 6.2.3 3GPP-LTE 235 6.2.4 Comparison of the IEEE 802.11n,
WiMAX and 3GPP Models 238 6.3 MIMO in Other Areas 240 6.3.1 MIMO for DVB-T2
240 6.3.2 MIMO in the HF Band 241 6.3.3 MIMO for Satellite Communications
242 6.3.4 Ultrawideband MIMO 242 6.3.5 MIMO for On-body Communications 243
6.3.6 MIMO for Vehicular Communications 244 6.3.7 MIMO in Small Cellular
Environments 244 6.4 Concluding Remarks and Future Wireless Systems 245
Appendix: Some Useful Definitions 247 Bibliography 251 Index 257
1.1 From SISO to MISO/ SIMO to MIMO 2 1.1.1 Single Input Single Output SISO
2 1.1.2 Single Input Multiple Output, SIMO, and Multiple Input Single
Output, MISO 3 1.1.3 Multiple Input Multiple Output, MIMO 6 1.2 What Do We
Need MIMO For? 7 1.2.1 The Single User Perspective 8 1.2.2 The Multiple
User Perspective 8 1.3 How Does MIMO Work? Two Analogies 10 1.3.1 The
Single User Perspective 10 1.3.2 The Multiple User Perspective 12 1.4
Conditions for MIMO to Work 13 1.5 How Long Has MIMO Been Around? 14 1.6
Where is MIMO Being Used? 15 1.7 Purpose of the Book 16 2 Capacity of MIMO
Channels 17 2.1 Some Background on Digital Communication Systems 18 2.1.1
Generation of Digital Signals 18 2.1.2 Conversion/Formatting for
Transmission 19 2.1.3 Complex Baseband Representation 19 2.1.4 Decoder 19
2.2 Notion of Capacity 20 2.2.1 Abstract Communication System 20 2.2.2
Definition of Capacity 22 2.2.3 Capacity Achieving Transceivers 23 2.3
Channel State Information and Fading 24 2.3.1 Fast and Slow Fading 24 2.3.2
Channel State Information 26 2.4 Narrowband MIMO Model 27 2.5 Capacity of
the Time-Invariant Channel 28 2.5.1 Capacity of the Time-Invariant SISO
Channel 29 2.5.2 Time-Invariant SIMO Channel 30 2.5.3 Time-Invariant MISO
Channel 32 2.5.4 Time-Invariant MIMO Channel: A Set of Parallel Independent
AWGN Channels 34 2.5.5 Maximal Achievable Rate for Fixed Input Covariance
Matrix 43 2.6 Fast Fading Channels with CSIT Distribution: Ergodic Capacity
46 2.6.1 Ergodic Capacity: Basic Principles 47 2.6.2 Fast Fading SISO
Channel with CSIT Distribution 47 2.6.3 Fast Fading SIMO Channel with CSIT
Distribution 48 2.6.4 Fast Fading MISO Channel with CSIT Distribution 49
2.6.5 Fast Fading MIMO Channels with CSIT Distribution 49 2.7 Slow Fading
Channel with CSIT Distribution: Outage Probability and Capacity with Outage
54 2.7.1 Outage: Basic Principles 55 2.7.2 Diversity to Improve
Communication Reliability 57 2.7.3 Slow Fading SISO Channels with CSIT
Distribution 58 2.7.4 Slow Fading SIMO Channel with CSIT Distribution:
Receive Diversity 60 2.7.5 Slow Fading MISO Channel with CSIT Distribution:
Transmit Diversity 60 2.7.6 Slow Fading MIMO Channel with CSIT Distribution
62 2.8 Chapter Summary Tables 67 2.9 Further Reading 73 3 MIMO Transceivers
75 3.1 MIMO Receivers 76 3.1.1 General MIMO Architecture 76 3.1.2 Maximum
Likelihood Receiver 78 3.1.3 Classes of Receivers Considered in the Chapter
78 3.1.4 Spatial Matched Filtering 80 3.1.5 Zero Forcing Receiver 86 3.1.6
MMSE Receiver 92 3.1.7 SIC Receiver and V-Blast 97 3.1.8 Performance 103
3.2 Transceivers with CSI at Transmitter and Receiver: Transmit and Receive
Beamforming 108 3.2.1 Principle of Beamforming 108 3.2.2 Multiple Transmit
and Receive Beams 109 3.2.3 Transmit Beamforming (MISO System) 111 3.2.4
Receive Beamforming (SIMO) 112 3.2.5 Single Beam MIMO: Maximal Eigenmode
Beamforming 113 3.2.6 Eigenmode Transmission 114 3.2.7 Performance of
Beamforming Schemes 118 3.3 Space-Time Block Codes 122 3.3.1 Orthogonal
Design for a 2 × 1 MISO System: Alamouti STBC 123 3.3.2 STBC for More than
Two Transmit Antennas 128 3.4 D-Blast 133 3.4.1 Diagonal Encoding 133 3.4.2
Diagonal Decoding 134 3.4.3 D-Blast: Outage Optimal 135 3.4.4 Performance
Gains 135 3.4.5 Error Propagation 136 3.4.6 Numerical Evaluations:
Comparison of D-Blast with STBC 136 3.5 Chapter Summary Tables 138 3.6
Further Reading 143 4 MIMO Channel Models 145 4.1 SISO Models and Channel
Fundamentals 146 4.1.1 Models for the Prediction of the Power 146 4.1.2
Models for the Prediction of the Temporal Variation of the Channel 152
4.1.3 Narrowband and Wideband Channels 160 4.1.4 Polarisation 166 4.1.5
Summary of Parameters Required for SISO Channel Modelling 167 4.2
Challenges in MIMO Channel Modelling 167 4.2.1 Deterministic Models 169
4.2.2 Stochastic Models 171 4.3 Summary 190 5 MIMO Antenna Design 193 5.1
Antenna Element Fundamentals 194 5.1.1 Isotropic Radiator 194 5.1.2
Directivity and Gain 195 5.1.3 Far Field and Rayleigh Distance 196 5.1.4
Three Dimensional Antenna Patterns 197 5.1.5 Impedance and Return Loss 198
5.1.6 Reciprocity 199 5.1.7 Antenna Polarisation 199 5.1.8 Mean Effective
Gain 202 5.2 Single Antenna Design 205 5.3 Designing Array Antennas for
MIMO 207 5.3.1 Spatial Correlation 207 5.3.2 Angular and Polarised
Correlation 209 5.3.3 Impact of Nonuniform Angles of Arrival 211 5.4 Impact
of Antenna Design on the MIMO Radio Channel 212 5.5 Evaluating Antenna
Impact on the MIMO Channel 217 5.5.1 A Crude Evaluation of the Impact of
Antennas on MIMO Channel Capacity 217 5.5.2 Advanced Techniques to Evaluate
MIMO Antenna Performance 219 5.6 Challenges in Compact MIMO Antenna Design
and Examples 221 5.7 Summary 223 5.7.1 Antenna Fundamentals 223 5.7.2
Designing Antenna Arrays 223 5.7.3 Practical Antennas for MIMO 223 6 MIMO
in Current and Future Standards 225 6.1 Wireless Channel Modelling in
Standards 225 6.2 Current Wireless Standards Employing MIMO and the
Corresponding Channel Models 228 6.2.1 IEEE 802.11n 228 6.2.2 IEEE
802.16-WiMAX 231 6.2.3 3GPP-LTE 235 6.2.4 Comparison of the IEEE 802.11n,
WiMAX and 3GPP Models 238 6.3 MIMO in Other Areas 240 6.3.1 MIMO for DVB-T2
240 6.3.2 MIMO in the HF Band 241 6.3.3 MIMO for Satellite Communications
242 6.3.4 Ultrawideband MIMO 242 6.3.5 MIMO for On-body Communications 243
6.3.6 MIMO for Vehicular Communications 244 6.3.7 MIMO in Small Cellular
Environments 244 6.4 Concluding Remarks and Future Wireless Systems 245
Appendix: Some Useful Definitions 247 Bibliography 251 Index 257