Abbas El Gamal

Network Information Theory (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 8. Dezember 2011
• Englisch
• ISBN-13: 9781107264175
• Artikelnr.: 52971647

Autorenporträt

Abbas El Gamal is the Hitachi America Chaired Professor in the School of Engineering and the Chair of the Department of Electrical Engineering at Stanford University, California. In the field of network information theory, he is best known for his seminal contributions to the relay, broadcast, and interference channels; multiple description coding; coding for noisy networks; and energy-efficient packet scheduling and throughput-delay tradeoffs in wireless networks. He is a Fellow of the Institute of Electrical and Electronics Engineers and the winner of the 2012 Claude E. Shannon Award, the highest honor in the field of information theory.

Inhaltsangabe

1. Introduction
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.