Channel Coding Techniques for Wireless Communications

2. Auflage 2019
ISBN: 978-981-15-0560-7
Verlag: Springer Nature Singapore

Buch, Englisch, 476 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1125 g

Reihe: Forum for Interdisciplinary Mathematics

This book discusses the latest channel coding techniques, MIMO systems, and 5G channel coding evolution. It provides a comprehensive overview of channel coding, covering modern techniques such as turbo codes, low-density parity-check (LDPC) codes, space–time coding, polar codes, LT codes, and Raptor codes as well as the traditional codes such as cyclic codes, BCH, RS codes, and convolutional codes. It also explores MIMO communications, which is an effective method for high-speed or high-reliability wireless communications. It also examines the evolution of 5G channel coding techniques. Each of the 13 chapters features numerous illustrative examples for easy understanding of the coding techniques, and MATLAB-based programs are integrated in the text to enhance readers’ grasp of the underlying theories. Further, PC-based MATLAB m-files for illustrative examples are included for students and researchers involved in advanced and current concepts of coding theory.

Zielgruppe

Graduate

Autoren/Hrsg.

Rao, K. Deergha

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie

Inhaltsverzeichnis

Chapter 1. Introduction.- Chapter 2. Performance of Digital Communication Over Fading Channels.- Chapter 3. Galois Field Theory.- Chapter 4. Linear Block Codes.- Chapter 5. Convolutional Codes.- Chapter 6. Turbo Codes.- Chapter 7. Bandwidth Efficient Coded Modulation.- Chapter 8. Low Density Parity Check codes.- Chapter 9. LT and Raptor Codes.- Chapter 10. Polar Codes.- Chapter 11. MIMO System.- Chapter 12. Space–Time Coding.- Chapter 13. Channel Codes Evolution for 5G.

Über Autor(innen)

K. Deergha Rao is Professor at the Department of Electronics and Communication Engineering, Vasavi College of Engineering, Osmania University, Hyderabad, India. He is former Director and Professor of Research and Training Unit for Navigational Electronics (NERTU), Osmania University. He was a postdoctoral fellow and part-time professor for four years at the Department of Electronics and Communication Engineering, Concordia University, Montreal, Canada. His teaching areas are signals and systems, digital signal processing, channel coding techniques, and MIMO communication systems. Professor Rao has executed research projects for premium Indian organizations such as DRDO, HAL, and BEL and is interested in research areas of wireless channel coding, MIMO-OFDM communications, image processing, cryptosystems, and VLSI signal processing. He has also served as the founder chairman of the joint chapter between IEEE Communications Society and IEEE Signal Processing Societyin Hyderabad from 2010–2012 and communications track chair for IEEE INDICON 2011 held in Hyderabad. Five students have been so far awarded Ph.D. degrees under Professor Rao, while three are currently working towards their Ph.D.

An awardee of the IETE K. S. Krishnan Memorial Award for the best system oriented paper in 2013, Prof. Rao has presented papers at IEEE International conferences several times in the USA, Switzerland, Russia, and Thailand. He has more than 100 publications to his credit including more than 60 publications in the IEEE journals and conference proceedings. Professor Rao is the author of two books—Channel Coding Techniques for Wireless Communications (Springer, 2015) and Signals and Systems (Springer, 2018)—and has co-authored Digital Signal Processing (Jaico Publishing House, 2012) and Digital Signal Processing: Theory and Practice (Springer, 2018). He is an editorial board member for the International Journal ofSustainable Aviation.