MIMO is the technology that is advancing the wireless industry from 3G to 4G systems, and this book is your essential guide to this major development in wireless communications. It takes you step-by-step from the basics of MIMO through various coding techniques, to topics such as multiplexing and packet transmission. Practical examples are emphasized and mathematics is kept to a minimum, so you can quickly and thoroughly understand the essentials of MIMO. The book takes a systems view of MIMO technology that helps you analyze the benefits and drawbacks of any MIMO system. You find detailed coverage of a hot new topic not covered in any other book - direct interfacing of a CDMA system with an OFDM system. This hardware approach extends the capabilities of current CDMA systems by exploiting the high-throughput capabilities of OFDM. Coupled with MIMO, this approach delivers a 4G solution that meets the ever-increasing need for higher throughput wireless communication. Space Time Codes and MIMO Systems is the only resource that offers you the practical knowledge needed to work with this powerful combination of cutting-edge wireless technology. Supplementary Material: For the errata of this book please visit http://www.jankiraman.com/errata.htm.
List of Figures. List of Tables.Preface. List of Abbreviations. List of Symbols.; Introduction ë The Crowded Spectrum. Need for High Data Rate. Multiple Input Multiple Output (MIMO) Systems. Internet Protocol. Wireless Internet Protocol.; The MIMO Wireless Channel ë Preliminaries. MIMO System Model. MIMO System Capacity. Channel Unknown to the Transmitter. Channel Known to the Transmitter. Deterministic Channels. Random Channels. Influence Fading Correlation on MIMO Capacity. Influence of LOS on MIMO Capacity. Influence of XPD on MIMO Capacity. Keyhole Effect: Degenerate Channels. Capacity of Frequency Selective MIMO Channels.; Channel Propagation, Fading & Link Budget Analysis ë Introduction. Radiowave Propagation. Large-scale Fading or Macroscopic Fading. Small Scale Fading. Microscopic Fading Measurements. Antenna Diversity.; Space-Time Block Codes ë Introduction. Delay Diversity Scheme. Alamouti Space-Time Code. Space-Time Block Codes (STBC). Decoding of STBC. Simulation results. Imperfect Channel Estimation: A Performance Analysis. Effect of Antenna Correlation on Performance. Dominant Eigenmode Transmission. Simulation Exercises.; Space-Time Trellis Codes ëIntroduction. Space-Time Coded Systems. Space-Time Codeword Design Criteria. Design of Space-Time Trellis Codes on Slow Fading Channels. Design of Space-Time Trellis Codes on Fast Fading Channels. Performance Analysis in a Slow Fading Channel. Performance Analysis in a Fast Fading Channel. The Effect of Imperfect Channel Estimation on Code Performance. Effect of Antenna Correlation on Performance. Delay Diversity as a STTC. Comparison of STBC and STTC. Simulation Exercises.; Layered Space-Time Codes ëIntroduction. LST Transmitters: Types of Encoding. Layered Space-Time Coding: Design Criteria. LST Receivers. Iterative Receivers. The Effect of Imperfect Channel estimation on Code Performance. Effect of Antenna Correlation on Performance. Diversity Performance of SM Receivers. Summary. Simulation Exercises.; Orthogonal Frequency Division Multiplexing (OFDM) ë Introduction. Basic Principles. OFDM. OFDM Generation. Synchronization Issues. Survey of Synchronization Techniques. Frequency Offset Estimation. Carrier Synchronization. Sampling-Frequency Synchronization. Performance Analysis of Synchronization Techniques. ML Estimation of Timing and Frequency Offset. Carrier Synchronization. Sampling-Frequency Synchronization. Observations. Suggested Solution to the Synchronization Problem. Channel Estimation. Peak to Average Power Ratio (PAPR). Application to Packet Transmission Systems. Conclusions. Simulation Exercises.; IEEE 802.11a Packet Transmission System ëIntroduction. Background. Wireless LAN Topology.; IEEE 802.11 Standard Family. WLAN Protocol Layer Architecture. Medium Access Control (MAC).; Physical Layer. Synchronization and Packet Detection Algorithms. Channel Estimation.; Space-Time Coding for Broadband Channel ëIntroduction. Performance of Space-Time Coding on Frequency-Selective Fading Channels. Space-Time Coding in Wideband OFDM Systems. apacity of MIMO-OFDM System;
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Mohinder Jankiraman
Mohinder Jankiraman is a Dallas, Texas-based technology consultant with more than 20 years of professional engineering experience in wireless communications. A senior member of the IEEE and former researcher at The Netherlands' Delft University of Technology, he recently taught at the University of Aalborg in Denmark and was a senior engineer at Summitek Instruments, Inc. of Denver, Colorado. He holds a Ph.D. in wireless multimedia communications from the University of Aalborg, and an M.S. in technology design from Delft University of Technology.