Channel Coding in Communication Networks

This book starts with a description of information theory by focusing on the quantitative measurement of information and by introducing two fundamental theorems on source and channel coding. It then discusses the basics of channel coding in two chapters, the first devoted to block codes and the second to convolutional codes. In these two chapters, the authors introduce weighted input and output decoding algorithms and recursive systematic convolutional codes, which are used in the rest of the book. In part one the book covers trellis coded modulations, which have their primary applications in high spectral efficiency transmissions. Part two is devoted to an advanced coding technique called turbo codes. These codes, invented in the 1990s by C. Berrou and A. Glavieux, show exceptional performance being at 0.35 dB of the Shannon theoretical limit. The book distinguishes between convolutional turbo codes and block turbo codes, and for each family, the authors present the coding and decoding principles, together with their performances. The book concludes with a chapter on the implementation of turbo codes in circuits.