Network Information Theory
Stanford University · University of California, San Diego
Abstract
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…
Citation impact
- FWCI
- 113.48
- Percentile
- 100%
- References
- 0
Authors
2Topics & keywords
- Computer science
- Mathematical proof
- Asynchronous communication
- Theoretical computer science
- Secrecy
- Information theory
- Wireless
- Coding (social sciences)
- Industry, innovation and infrastructure