Coding for MIMO communication systems

Coding for MIMO Communication Systems is a comprehensive introduction and overview to the various emerging coding techniques developed for MIMO communication systems. The basics of wireless communications and fundamental issues of MIMO channel capacity are introduced and the space-time block and trellis coding techniques are covered in detail. Other signaling schemes for MIMO channels are also considered, including spatial multiplexing, concatenated coding and iterative decoding for MIMO systems, and space-time coding for non-coherent MIMO channels. Practical issues including channel correlation, channel estimation and antenna selection are also explored, with problems at the end of each chapter to clarify many important topics.A comprehensive book on coding for MIMO techniques covering main strategiesTheories and practical issues on MIMO communications are examined in detailEasy to follow and accessible for both beginners and experienced practitioners in the fieldReferences at the end of each chapter for further readingCan be used with ease as a research book, or a textbook on a graduate or advanced undergraduate level courseThis book is aimed at advanced undergraduate and postgraduate students, researchers and practitioners in industry, as well as individuals working for government, military, science and technology institutions who would like to learn more about coding for MIMO communication systems.

ContentsPreface1 Overview1.1 Need for MIMO Systems1.2 MIMO Communications in Wireless Standards1.3 Organization of the Book1.4 Other Topics in MIMO Systems2 Fading Channels and Diversity Techniques2.1 Wireless Channels2.1.1 Path Loss, Shadowing and Small Scale Fading2.1.2 Fading Channel Models2.2 Error/Outage Probabilities over Fading Channels2.2.1 Outage Probability for Rayleigh Fading Channels2.2.2 Average Error Probabilities over Rayleigh Fading Channels2.2.3 Extensions to Other Fading Channels2.2.4 Performance over Frequency Selective Fading Channels2.3 Diversity Techniques2.3.1 Types of Diversity2.3.2 System Model for Lth Order Diversity2.3.3 Maximal Ratio Combining (MRC)2.3.4 Suboptimal Combining Algorithms2.3.5 Selection Combining2.3.6 Examples2.4 Channel Coding as a Means of Time Diversity2.4.1 Block Coding over a Fully Interleaved Channel2.4.2 Convolutional Coding2.5 Multiple Antennas in Wireless Communications2.5.1 Receive Diversity2.5.2 Smart Antennas and Beamforming2.6 Chapter Summary and Further Reading 3 Capacity and Information Rates of MIMO Channels3.1 Capacity and Information Rates of Noisy Channels3.2 Capacity and Information Rates of AWGN and Fading Channels3.2.…