A comprehensive, hands-on resource for today’s telecommunications industry

As the amount of data being transmitted over our communications networks continues to increase, the dispersive nature of the channels it travels through, be they copper, fiber-optic, or wireless, is becoming ever more important in determining the quality of the signal. Because the use of precoding and signal shaping techniques can significantly enhance signal quality, these techniques already play a key role in wireline communications standards and are now being developed for wireless applications. The implementation of precoding and signal shaping algorithms in today’s telecommunications allows a more efficient use of bandwidth, which means that a given network can support a greater amount of data or number of users without needing to be updated.

Filling the need for a comprehensive, practically oriented introduction to the subject, Precoding and Signal Shaping for Digital Transmission will be of value to a broad spectrum of telecommunications engineers. Written by an award-winning professional, the text . . .

• Provides a step-by-step description of the basics of precoding and signal shaping
• Illustrates theory with examples from wireline and wireless communications
• Discusses the role of precoding and signal shaping algorithms in communications standards

An important reference for practicing engineers involved in the design and implementation of digital transmission schemes, either wireline or wireless, this text will be of equal value as a graduate-level resource for students of electrical and computer engineering.

Table of Contents

Preface.

Introduction.

Digital Communications via Linear, Distorting Channels.

Precoding Schemes.

Signal Shaping.

Combined Precoding and Signal Shaping.

Appendix A: Wirtinger Calculus.

Appendix B: Parameters of the Numerical Examples.

Appendix C: Introduction to Lattices.

Appendix D: Calculation of Shell Frequency Distribution.

Appendix E: Precoding for MIMO Channels.

Appendix F: List of Symbols, Variables, and Acronyms.

Index.