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MIMO Wireless Networks
Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems
- 2nd Edition - January 23, 2013
- Authors: Bruno Clerckx, Claude Oestges
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 3 8 5 0 5 5 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 3 8 5 0 5 6 - 0
This book is unique in presenting channels, techniques and standards for the next generation of MIMO wireless networks. Through a unified framework, it emphasizes how pr… Read more
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Request a sales quoteThis book is unique in presenting channels, techniques and standards for the next generation of MIMO wireless networks. Through a unified framework, it emphasizes how propagation mechanisms impact the system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach to space-time signal processing, the book progressively derives innovative designs for space-time coding and precoding as well as multi-user and multi-cell techniques, taking into consideration that MIMO channels are often far from ideal.Reflecting developments since the first edition was published, this book has been thoroughly revised, and now includes new sections and five new chapters, respectively dealing with receiver design, multi-user MIMO, multi-cell MIMO, MIMO implementation in standards, and MIMO system-level evaluation.
- Extended introduction to multi-dimensional propagation, including polarization aspects
- Detailed and comparative description of physical models and analytical representations of single- and multi-link MIMO channels, covering the latest standardized models
- Thorough overview of space-time coding techniques, covering both classical and more recent schemes under information theory and error probability perspectives
- Intuitive illustration of how real-world propagation affects the capacity and the error performance of MIMO transmission schemes
- Detailed information theoretic analysis of multiple access, broadcast and interference channels
- In-depth presentation of multi-user diversity, resource allocation and (non-)linear MU-MIMO precoding techniques with perfect and imperfect channel knowledge
- Extensive coverage of cooperative multi-cell MIMO-OFDMA networks, including network resource allocation optimization, coordinated scheduling, beamforming and power control, interference alignment, joint processing, massive and network MIMO
- Applications of MIMO and Coordinated Multi-Point (CoMP) in LTE, LTE-A and WiMAX
- Theoretical derivations and results contrasted with practical system level evaluations highlighting the performance of single- and multi-cell MIMO techniques in realistic deployments
Wireless communications R&D engineers and graduate students
Dedication
List of Figures
List of Tables
Preface
List of Abbreviations
List of Symbols
About The Author
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
1.4 Single-input multiple-output systems
1.5 Multiple-input single-output systems
1.6 Multiple-input multiple-output systems
1.7 Multi-link MIMO networks: from multi-user to multi-cell MIMO
1.8 MIMO techniques in commercial wireless systems
References
Chapter 2. From Multi-Dimensional Propagation to Multi-Link MIMO Channels
2.1 Double-Directional Channel Modeling
2.2 The Mimo Channel Matrix
2.3 Statistical Properties Of The Mimo Channel Matrix
2.4 Multi-Link Mimo Propagation
2.5 Impact Of Antenna Arrays On Mimo Channels
2.6 Towards Mimo Channel Modeling
References
Chapter 3. Analytical MIMO Channel Representations for System Design
3.1 Propagation-Motivated MIMO Metrics
3.2 Analytical Single-Link Representations of Narrowband Correlated MIMO Channels
3.3 Dual-Polarized Channels
3.4 Separable Representations of Gaussian MIMO Channels
3.5 Frequency Selective MIMO Channels
3.6 Analytical Multi-Link Representations of MIMO Channels
References
Chapter 4. Physical MIMO Channel Models For Performance Simulation
4.1 Electromagnetic Models
4.2 Geometry-Based Stochastic Models
4.3 Empirical Channel Models
4.4 Standardized Mimo Channel Models
References
Chapter 5. Capacity of Single-Link MIMO Channels
5.1 Introduction
5.2 Capacity of Deterministic MIMO Channels
5.3 Ergodic Capacity of Fast Fading Channels
5.4 I.I.D. Rayleigh Fast Fading Channels
5.5 Correlated Rayleigh Fast Fading Channels
5.6 Ricean Fast Fading Channels
5.7 Outage Capacity and Probability and Diversity-Multiplexing Trade-Off in Slow Fading Channels
5.8 I.I.D. Rayleigh Slow Fading Channels
5.9 Correlated Rayleigh and Ricean Slow Fading Channels
References
Chapter 6. Space-Time Coding Over I.I.D. Rayleigh Flat Fading Channels
6.1 Overview of a Space-Time Encoder
6.2 System Model
6.3 Error Probability Motivated Design Methodology
6.4 Information Theory Motivated Design Methodology
6.5 Space-Time Block Coding
6.6 Space-Time Trellis Coding
References
Chapter 7. MIMO Receiver Design: Detection and Channel Estimation
7.1 Reminder: System Model
7.2 Mimo Receivers For Uncoded Transmissions
7.1 Mimo Receivers For Coded Transmissions
7.2 Mimo Channel Estimation
References
Chapter 8. Error Probability in Real-World MIMO Channels
8.1 A Conditional Pairwise Error Probability Approach
8.2 Introduction to an Average Pairwise Error Probability Approach
8.3 Average Pairwise Error Probability in Rayleigh Fading Channels
8.4 Average Pairwise Error Probability in Ricean Fading Channels
8.5 Perspectives on the Space-Time Code Design in Realistic Channels
References
Chapter 9. Space-Time Coding over Real-World MIMO Channels with No Transmit Channel Knowledge
9.1 Information Theory Motivated Design Methodology
9.2 Information Theory Motivated Code Design in Slow Fading Channels
9.3 Error Probability Motivated Design Methodology
9.4 Error Probability Motivated Code Design in Slow Fading Channels
9.5 ERROR PROBABILITY MOTIVATED CODE DESIGN IN FAST FADING CHANNELS
References
Chapter 10. Space-Time Coding with Partial Transmit Channel Knowledge
Exploiting Channel Statistics at the Transmitter
Exploiting a Limited Amount of Feedback at the Transmitter
A General Framework
10.1 Introduction to Channel Statistics Based Precoding Techniques
10.2 Channel Statistics Based Precoding for Orthogonal Space-Time Block Coding
10.3 Channel Statistics Based Precoding for Codes With Non-Identity Error Matrices
10.4 Channel Statistics Based Precoding for Spatial Multiplexing
10.5 Introduction to Quantized Precoding and Antenna Selection Techniques
10.6 Quantized Precoding and Antenna Selection for Dominant Eigenmode Transmissions
10.7 Quantized Precoding and Antenna Selection for Orthogonal Space-Time Block Coding
10.8 Quantized Precoding and Antenna Selection for Spatial Multiplexing
10.9 Information Theory Motivated Quantized Precoding
References
Chapter 11. Space-Time Coding for Frequency Selective Channels
11.1 Single-Carrier Vs. Multi-Carrier Transmissions
11.2 Information Theoretic Aspects For Frequency Selective Mimo Channels
11.3 Average Pairwise Error Probability
11.4 Code Design Criteria For Single-Carrier Transmissions In Rayleigh Fading Channels
11.5 Code Design Criteria For Space-Frequency Coded Mimo-Ofdm Transmissions In Rayleigh Fading Channels
11.6 On The Robustness Of Codes In Spatially Correlated Frequency Selective Channels
References
Chapter 12. Multi-User MIMO
12.1 System Model
12.2 Capacity of Multiple-Access Channels (MAC)
12.3 Capacity of Broadcast Channels (BC)
12.4 BC-MAC Duality
12.5 Multi-User Diversity, Resource Allocation and Scheduling
12.6 Sum-Rate Scaling Laws
12.7 Uplink Multi-User Mimo
12.8 Downlink Multi-user Mimo Precoding with Perfect Transmit Channel Knowlede
12.9 Downlink Multi-user Mimo Precoding with Partial Transmit Channel Knowledge
References
Chapter 13. Multi-Cell MIMO
13.1 Interference in Wireless Networks
13.2 System Model
13.3 Network Architecture
13.4 Capacity of Multi-Cell Mimo Channels
13.5 Multi-Cell Diversity and Resource Allocation
13.6 Coordinated Power Control
13.7 Coordinated Beamforming
13.8 Coordinated Scheduling, Beamforming and Power Control
13.9 Coding for Multi-Cell Coordination
13.10 Network MIMO
References
Chapter 14. MIMO in LTE, LTE-Advanced and WiMAX
14.1 Design Targets and Key Technologies
14.2 Antenna and Network Deployments
14.3 Reference Signals
14.4 Single-User MIMO
14.5 Multi-User Mimo
14.6 Multi-Cell MIMO
14.7 Channel State Information (CSI) Feedback
14.8 Beyond lte-a: Massive Multi-Cell and Massive Multi-Antenna Networks
References
Chapter 15. MIMO-OFDMA System Level Evaluation
15.1 Single-User Mimo
15.2 Multi-User Mimo
15.3 User Dropping and Cell Clustering in Homogeneous Networks
15.4 Coordinated Scheduling and Beamforming in Homogeneous Networks
15.5 Coordinated Scheduling and Power Control in Heterogeneous Networks
15.6 Concluding Remarks
References
Appendix A. Useful Mathematical and Matrix Properties
References
Appendix B. Complex Gaussian Random Variables and Matrices
B.1 Some Useful Probability Distributions
B.2 Eigenvalues of Wishart Matrices
References
Appendix C. Antenna Coupling Model
C.1 Minimum Scatterers W.R.T. Impedance Parameters
C.2 Minimum Scatterers W.R.T. Admittance Parameters
References
Appendix D. Derivation of the Average Pairwise Error Probability
D.1 Joint Space-Time Correlated Ricean Fading Channels
D.2 Space Correlated Ricean Slow Fading Channels
D.3 Joint Space-Time Correlated Ricean Block Fading Channels
D.4 I.I.D. Rayleigh Slow and Fast Fading Channels
References
Bibliography
Index
- No. of pages: 776
- Language: English
- Edition: 2
- Published: January 23, 2013
- Imprint: Academic Press
- Hardback ISBN: 9780123850553
- eBook ISBN: 9780123850560
BC
Bruno Clerckx
Bruno Clerckx is Assistant Professor (Lecturer) at Imperial College London. He held research or visiting positions at Université catholique de Louvain, Stanford University, EURECOM and Samsung Electronics. His research interests cover wireless communications. He is the author of books, numerous scientific papers, standard contributions (3GPPLTE/LTE-A and IEEE802.16m) and patents.
Affiliations and expertise
Imperial College, London, UKCO
Claude Oestges
Claude Oestges is Associate Professor with the Institute for Information and Communication Technologies, Electronics and Applied Mathematics (Université catholique de Louvain). His research interests cover wireless and satellite communications, with a specific focus on channel characterization and modeling. He is the author or co-author of two books and more than 170 scientific papers in international journals and conference proceedings.
Affiliations and expertise
Associate Professor, Institute for Information and Communication Technologies, Electronics and Applied Mathematics, Universite catholique de Louvain, BelgiumRead MIMO Wireless Networks on ScienceDirect