Brown T., Carvalho E.D., Kyritsi P. Practical guide to the MIMO radio channel with MatLAB examples

John Wiley & Sons Ltd, 2012. — 263 p.The purpose of this book is to introduce the concept of the Multiple Input Multiple Output (MIMO) radio channel, which is an intelligent communication method based upon using multiple antennas. The book opens by explaining MIMO in layman’s terms to help students and people in industry working in related areas become easily familiarised with the concept. Therefore the structure of the book will be carefully arranged to allow a user to progress steadily through the chapters and understand the fundamental and mathematical principles behind MIMO through the visual and explanatory way in which they will be written. It is the intention that several references will also be provided, leading to further reading in this highly researched technology.Preface
List of Abbreviations
List of SymbolsFrom SISO to MISO/ SIMO to MIMO
Single Input Single Output SISO
Single Input Multiple Output, SIMO, and Multiple Input Single Output, MISO
Multiple Input Multiple Output, MIMO
What Do We Need MIMO For?
The Single User Perspective
The Multiple User Perspective
How Does MIMO Work? Two Analogies
The Single User Perspective
The Multiple User Perspective
Conditions for MIMO to Work
How Long Has MIMO Been Around?
Where is MIMO Being Used?
Purpose of the Book
Capacity of MIMO Channels
Some Background on Digital Communication Systems
Generation of Digital Signals
Conversion/Formatting for Transmission
Complex Baseband Representation
Decoder
Notion of Capacity
Abstract Communication System
Definition of Capacity
Capacity Achieving Transceivers
Channel State Information and Fading
Fast and Slow Fading
Channel State Information
Narrowband MIMO Model
Capacity of the Time-Invariant Channel
Capacity of the Time-Invariant SISO Channel
Time-Invariant SIMO Channel
Time-Invariant MISO Channel
Time-Invariant MIMO Channel: A Set of Parallel Independent AWGN Channels
Maximal Achievable Rate for Fixed Input Covariance Matrix
Fast Fading Channels with CSIT Distribution: Ergodic Capacity
Ergodic Capacity: Basic Principles
Fast Fading SISO Channel with CSIT Distribution
Fast Fading SIMO Channel with CSIT Distribution
Fast Fading MISO Channel with CSIT Distribution
Fast Fading MIMO Channels with CSIT Distribution
Slow Fading Channel with CSIT Distribution: Outage Probability and Capacity with Outage
Outage: Basic Principles
Diversity to Improve Communication Reliability
Slow Fading SISO Channels with CSIT Distribution
Slow Fading SIMO Channel with CSIT Distribution: Receive Diversity
Slow Fading MISO Channel with CSIT Distribution: Transmit Diversity
Slow Fading MIMO Channel with CSIT Distribution
Chapter Summary Tables
Further Reading
MIMO Transceivers
MIMO Receivers
General MIMO Architecture
Maximum Likelihood Receiver
Classes of Receivers Considered in the Chapter
Spatial Matched Filtering
Zero Forcing Receiver
MMSE Receiver
SIC Receiver and V-Blast
Performance
Transceivers with CSI at Transmitter and Receiver: Transmit and Receive Beamforming
Principle of Beamforming
Multiple Transmit and Receive Beams
Transmit Beamforming (MISO System)
Receive Beamforming (SIMO)
Single Beam MIMO: Maximal Eigenmode Beamforming
Eigenmode Transmission
Performance of Beamforming Schemes
Space–Time Block Codes
Orthogonal Design for a 2 × 1 MISO System: Alamouti STBC
STBC for More than Two Transmit Antennas
D-Blast
Diagonal Encoding
Diagonal Decoding
D-Blast: Outage Optimal
Performance Gains
Error Propagation
Numerical Evaluations: Comparison of D-Blast with STBC
Chapter Summary Tables
Further Reading
MIMO Channel Models
SISO Models and Channel Fundamentals
Models for the Prediction of the Power
Models for the Prediction of the Temporal Variation of the Channel
Narrowband and Wideband Channels
Polarisation
Summary of Parameters Required for SISO Channel Modelling
Challenges in MIMO Channel Modelling
Deterministic Models
Stochastic ModelsMIMO Antenna Design
Antenna Element Fundamentals
Isotropic Radiator
Directivity and Gain
Far Field and Rayleigh Distance
Three Dimensional Antenna Patterns
Impedance and Return Loss
Reciprocity
Antenna Polarisation
Mean Effective Gain
Single Antenna Design
Designing Array Antennas for MIMO
Spatial Correlation
Angular and Polarised Correlation
Impact of Nonuniform Angles of Arrival
Impact of Antenna Design on the MIMO Radio Channel
Evaluating Antenna Impact on the MIMO Channel
A Crude Evaluation of the Impact of Antennas on MIMO Channel Capacity
Advanced Techniques to Evaluate MIMO Antenna Performance
Challenges in Compact MIMO Antenna Design and Examples
Summary
Antenna Fundamentals
Designing Antenna Arrays
Practical Antennas for MIMO
MIMO in Current and Future Standards
Wireless Channel Modelling in Standards
Current Wireless Standards Employing MIMO and the Corresponding Channel Models
IEEE 802.11n
IEEE 802.16–WiMAX
3GPP-LTE
Comparison of the IEEE 802.11n, WiMAX and 3GPP Models
MIMO in Other Areas
MIMO for DVB-T2
MIMO in the HF Band
MIMO for Satellite Communications
Ultrawideband MIMO
MIMO for On-body Communications
MIMO for Vehicular Communications
MIMO in Small Cellular Environments
Concluding Remarks and Future Wireless Systems
Appendix: Some Useful Definitions

IndexFrom the Back Cover:
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 modelling 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 provides examples (i.e. Kroenecker model, Weicheselberger model, geometric and deterministic models, and ray tracing), system scenarios, trade-offs, and visual explanations. The authors explain and demonstrate the use and application of these models at system level.Key Features:
Provides a summary of the current channel modelling approaches used by industry, academia and standardisation bodies
Contains experimental and measurement based results
Provides a comprehensive approach with concise and visual explanations of MIMO Radio Channel
Covers a variety of system scenarios and explains the trade-offs involved in each
Accompanying website containing MatLAB code and solutions to related problems (http://www.tim.brown76.name/MIMObook)
Practical Guide to the MIMO Radio Channel with MatLAB Examples is an invaluable reference for R&D engineers and professionals in industry requiring familiarisation with the concept, and engineers entering the field or working in related fields seeking an introduction to the topic.