© 2015

Channel Coding Techniques for Wireless Communications

  • Provides comprehensive exposure to all aspects of coding theory for wireless channels with clarity and in an easy way to understand

  • Emphases on the ideas and examples of turbo codes, LDPC codes, LT codes and Raptor codes and space-time coding with precise presentation of coding and decoding processes as well as the traditional block codes and convolutional codes

  • Describes the classical bandwidth efficient TCM, turbo TCM (TTCM), bit interleaved coded modulation (BICM), bit interleaved coded modulation iterative decoding (BICM-ID) with a comparison of their BER performance

  • Provides an in-depth study of multiple-input multiple-output (MIMO) wireless channel in which multiple antennas are used both at the transmitter and the receiver

  • Presents illustration of coding techniques and concepts with several fully worked numerical examples

  • Provides MATLAB-based programs, freely downloadable, to enhance the understanding of the underlying theories of the subject


Table of contents

  1. Front Matter
    Pages i-xxi
  2. K. Deergha Rao
    Pages 1-20
  3. K. Deergha Rao
    Pages 49-71
  4. K. Deergha Rao
    Pages 73-126
  5. K. Deergha Rao
    Pages 127-159
  6. K. Deergha Rao
    Pages 161-207
  7. K. Deergha Rao
    Pages 209-250
  8. K. Deergha Rao
    Pages 251-303
  9. K. Deergha Rao
    Pages 305-323
  10. K. Deergha Rao
    Pages 325-354
  11. K. Deergha Rao
    Pages 355-394

About this book


The book discusses modern channel coding techniques for wireless communications such as turbo codes, low-density parity check (LDPC) codes, space–time (ST) coding, RS (or Reed–Solomon) codes and convolutional codes. Many illustrative examples are included in each chapter for easy understanding of the coding techniques. The text is integrated with MATLAB-based programs to enhance the understanding of the subject’s underlying theories. It includes current topics of increasing importance such as turbo codes, LDPC codes, Luby transform (LT) codes, Raptor codes, and ST coding in detail, in addition to the traditional codes such as cyclic codes, BCH (or Bose–Chaudhuri–Hocquenghem) and RS codes and convolutional codes. Multiple-input and multiple-output (MIMO) communications is a multiple antenna technology, which is an effective method for high-speed or high-reliability wireless communications. PC-based MATLAB m-files for the illustrative examples are provided on the book page on for free download, which will help students and researchers involved in advanced and current concepts in coding theory. Channel coding, the core of digital communication and data storage, has undergone a major revolution as a result of the rapid growth of mobile and wireless communications.

The book is divided into 11 chapters. Assuming no prior knowledge in the field of channel coding, the opening chapters (1–2) begin with basic theory and discuss how to improve the performance of wireless communication channels by using channel coding. Chapters 3–4 introduce Galois fields and present detailed coverage of BCH codes and RS codes. Chapters 5–7 introduce the family of convolutional codes, hard and soft-decision Viterbi algorithms, turbo codes, BCJR (or Bahl–Cocke–Jelinek–Raviv) algorithm for turbo decoding and studies trellis coded modulation (TCM), turbo TCM (TTCM), bit-interleaved coded modulation (BICM) as well as iterative BICM (BICM-ID) and compares them under various channel conditions. Chapters 8–9 focus on LDPC codes, LT codes and Raptor codes. Chapters 10–11 discuss MIMO systems and ST coding.




Block codes Coding theory Low parity check code PC-based MATLAB programs Turbo code Wireless communication

Authors and affiliations

  1. 1.Research and Training Unit for Navigational Electronics, College of EngineeringOsmania UniversityHyderabad, TelanganaIndia

About the authors

K. DEERGHA RAO is director and professor in the Navigational Electronics Research and Training Unit (NERTU), University College of Engineering, Osmania University, Hyderabad, India. Earlier, he was a postdoctoral fellow and part-time professor at the Department of Electronics and Communication Engineering, Concordia University, Montreal, Canada. He has executed several research projects for premium Indian organizations such as Defence Research and Development Organization (DRDO), Hindustan Aeronautical Limited (HAL) and Bharat Electronics Limited (BEL). His teaching areas are digital signal processing, digital image processing, coding theory for wireless channels and MIMO wireless communications, whereas his research interests include GPS signal processing, wireless channel coding, blind equalization, robust multiuser detection, OFDM UWB signal processing, MIMO SFBC OFDM, image processing, cryptosystems and VLSI signal  processing. Professor Rao has presented papers at IEEE international conferences several times in the U.S.A., Switzerland and Russia. He has more than 100 publications to his credit, including more than 60 publications in IEEE journals and conference proceedings. He is a senior member of IEEE and has served as chairman of communications and signal processing societies joint chapter of IEEE Hyderabad section. He is currently a member of the IEEE SPS chapters committee. He was awarded  2013 IETE K.S. Krishnan Memorial Award for the best system oriented paper. He has served as Communications Track Chair for IEEE INDICON 2011 held at Hyderabad. He is an editorial board member of the International Journal of Sustainable Aviation (Inderscience Publishers, U.K.). He has coauthored a book, Digital Signal Processing (Jaico Publishing House, India).

Bibliographic information


“The book presents many illustrative examples for easy understanding of the coding techniques. An attractive feature of the book is the inclusion of MATLAB-based examples with codes which will surely help readers to gain more insight into the subject. The book is fit to be prescribed as a text book at Bachelor's and Master's level along with researchers to peep into the subject from a different perspective.” (Bal Kishan Dass, zbMATH 1334.94004, 2016)