Coding for Wireless Channels is designed for telecommunications professionals and advanced undergraduate and graduate-level students. The book provides an accessible introduction to the theoretical foundations of modern coding theory, with many applications to wireless transmission systems. State-of-the-art coding theory is explained based on soft (maximum-likelihood) decoding rather than on algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section addresses multiple-antenna systems and space-time codes.

Focuses on the basic principles underlying code design Unifies topics of coding theory and wireless communications Coverage of space-time codes and multiple-antenna systems Includes supplementary material: sn.pub/extras

Klappentext

Coding for Wireless Channels is an accessible introduction to the theoretical foundations of modern coding theory, with applications to wireless transmission systems. State-of-the-art coding theory is explained using soft (maximum-likelihood) decoding rather than algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are also covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section is devoted to multiple-antenna systems and space-time codes. The author assumes that the reader has a firm grasp of the concepts usually presented in senior-level courses on digital communications, information theory, and random processes.

Coding for Wireless Channels will serve as an advanced text for undergraduate and graduate level courses & as a reference for professionals in telecommunications.

Inhalt
Tour d'horizon.- Channel models for digital transmission.- Coding in a signal space.- Fading channels.- Trellis representation of codes.- Coding on a trellis: Convolutional codes.- Trellis-coded modulation.- Codes on graphs.- LDPC and turbo codes.- Multiple antennas.- Facts from information theory.- Facts from matrix theory.- Random variables, vectors, and matrices.- Computation of error probabilities.