Lattice Coding for Signals and Networks: A Structured Coding Approach to Quantization, Modulation, and Multiuser Information Theory

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Cambridge University Press, Aug 7, 2014 - Language Arts & Disciplines - 454 pages
Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on 'algebraic binning' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-coding solutions, for instance when generalising the framework to Gaussian networks.
 

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Contents

Summary
34
Summary
56
1
84
Infinite constellation for modulation
110
Asymptotic goodness
134
Nested lattices
178
Lattice shaping
197
Sideinformation problems
247
Modulolattice modulation
295
Gaussian networks
313
4
341
Error exponents
372
Appendix
400
References
408
Index
425
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About the author (2014)

Ram Zamir is a Professor at the Department of Electrical Engineering at Tel-Aviv University, Israel. He consults in the areas of radar and communications (DSL and WiFi), and is the Chief Scientist of Celeno Communications.

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