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This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon’s point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for self-study, and as a reference for researchers and engineers in industry and academia.Read more
- The first complete and unified coverage of both classical and recent results
- Uses elementary mathematical tools and techniques throughout, making the text open to newcomers to the field
- Includes a wealth of illustrations, worked examples, bibliographic notes and over 250 end-of-chapter problems
Reviews & endorsements
"El Gamal and Kim have produced the most extensive and inclusive text on all aspects of information theory to date. They have collected and organized the fruits of six decades of research demonstrating how Shannon’s original seminal theory has been enlarged to solve a multitude of important problems mostly encountered in multiple link communication networks. The authors stress the significance of these results for timely applications such as multi-hop wireless networks. Beyond its value as a textbook for an advanced course on information theory, the attention given to motivating applications makes it useful for practicing communication engineers as well."
Andrew Viterbi, University of Southern California and co-founder of Qualcomm, Inc.See more reviews
"El Gamal and Kim have written a masterpiece. It brings organization and clarity to a large and previously chaotic field. The mathematics is done cleanly and carefully, and the intuition behind the results is brought out with clarity."
Robert G. Gallager, Massachusetts Institute of Technology
"On offer in this text is a superb unified pedagogical treatment including results that heretofore were only available in their original, often arcane, sources. While key regions in network information theory remain terra incognita, future discoveries are bound to owe a debt of gratitude to El Gamal and Kim’s comprehensive magnum opus."
Sergio Verdú, Princeton University
"The illustrations are very helpful. The authors cover an impressively large part of information theory; furthermore, they make it accessible. I do not know of any other book on the subject that contains so many topics of practical relevance to communication engineers. I therefore recommend the book to all students, researchers, and practitioners working in the field of communication."
Klaus Galensa, Computing Reviews
"The book is written in a very pedagogical manner, going from simpler models to more sophisticated ones."
Irina Bocharova, Mathematical Reviews
"The presentation is based on basic knowledge of probability and elementary mathematical tools and techniques, making the book accessible to graduate students and for self-study. But the width of covering (this is the first unified treatment of both classical and recent results) makes the book valuable also to researchers and practitioners."
Jaak Henno, Zentralblatt MATH
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- Date Published: January 2012
- format: Hardback
- isbn: 9781107008731
- length: 709 pages
- dimensions: 254 x 182 x 36 mm
- weight: 1.54kg
- contains: 242 b/w illus. 15 tables 273 exercises
- availability: In stock
Table of Contents
Part I. Preliminaries:
2. Information measures and typicality
3. Point-to-point information theory
Part II. Single-Hop Networks:
4. Multiple access channels
5. Degraded broadcast channels
6. Interference channels
7. Channels with state
8. General broadcast channels
9. Gaussian vector channels
10. Distributed lossless compression
11. Lossy compression with side information
12. Distributed lossy compression
13. Multiple description coding
14. Joint source-channel coding
Part III. Multihop Networks:
15. Graphical networks
16. Relay channels
17. Interactive channel coding
18. Discrete memoryless networks
19. Gaussian networks
20. Compression over graphical networks
Part IV. Extensions:
21. Communication for computing
22. Information theoretic secrecy
23. Wireless fading channels
24. Networking and information theory
Appendices: A. Convex sets and functions
B. Probability and estimation
C. Cardinality bounding techniques
D. Fourier–Motzkin elimination
E. Convex optimization.
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