Network Information Theory

ISBN-13: 9781108453240 / Angielski / Miękka / 2018 / 713 str.

Abbas El Gamal; Young-Han Kim

Opis

The first complete and unified coverage of both classical and recent results, including numerous worked examples and over 250 exercises.

Recenzje

'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

Spis treści

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.