Artech House, 2004. — 350 p. — ISBN10: 1-58053-865-7; ISBN13: 978-1-58053-865-7.
This book is intended to introduce space-time coding and multiantenna systems. 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 system’s 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.
This book is intended for postgraduate students, practicing engineers, and researchers. It is assumed that the reader is familiar with basic digital communications, linear algebra, and probability theory. The teaching effort in this book is aided by a set of accompanying software. This software has been divided into a set of two broad classes—narrowband and wideband. The narrowband software is distributed based on chapters and directly pertains to topics discussed in those chapters. The wideband software is orthogonal frequency division multiplexing (OFDM) based and is included as part of Chapters 7, 8, and 9. The entire coding has been kept simple and sometimes very unprofessional to enable readers to clearly understand the various steps involved in the implementation of the program. The entire coding has been implemented at baseband and the radio frequency (RF) aspects of coding have been avoided for similar reasons. Because the software is basically intended as a ‘‘skeleton,’’ the user is encouraged to modify it in any manner or means by adding to its RF capability and so on to suit one’s convenience. This is an excellent method to learn the subject. The software presupposes a sound understanding of MatLAB and Simulink and has been tested on MatLAB Version 6.0 (with Signal Processing and Communication Toolboxes) and above with the Simulink option with DSP and Communication Blocksets.
The errata of this book one can find on http://www.jankiraman.com/errata.htm
Introduction ‑ The Crowded Spectrum. Need for High Data Rate. Multiple Input Multiple Output (MIMO) Systems. Internet Protocol. Wireless Internet Protocol.
The MIMO Wireless Channel ‑ 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 ‑ Introduction. Radiowave Propagation. Large-scale Fading or Macroscopic Fading. Small Scale Fading. Microscopic Fading Measurements. Antenna Diversity.
Space-Time Block Codes ‑ 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 ‑ Introduction. 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 ‑ Introduction. 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) ‑ 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 ‑ Introduction. 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 ‑ Introduction. Performance of Space-Time Coding on Frequency-Selective Fading Channels. Space-Time Coding in Wideband OFDM Systems. apacity of MIMO-OFDM System