Network Information Theory

This complete therapy of community info thought and its purposes offers the 1st unified insurance of either classical and up to date effects. With an technique that balances the creation of recent types and new coding recommendations, readers are guided via Shannon's point-to-point details thought, single-hop networks, multihop networks, and extensions to dispensed computing, secrecy, instant conversation, and networking. uncomplicated mathematical instruments and strategies are used all through, requiring in basic terms uncomplicated wisdom of chance, while unified proofs of coding theorems are in line with a couple of basic lemmas, making the textual content obtainable to beginners. Key subject matters coated contain successive cancellation and superposition coding, MIMO instant conversation, community coding, and cooperative relaying. additionally lined are suggestions and interactive communique, means approximations and scaling legislation, and asynchronous and random entry channels. This ebook is perfect to be used within the school room, for self-study, and as a reference for researchers and engineers in and academia.

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Every one field includes the bankruptcy quantity and lighter containers characterize dependence on prior components. sturdy edges signify required analyzing and dashed edges symbolize suggested analyzing. half II. ,     2 details measures and typicality three Point-to-point info conception four a number of entry channels five Degraded broadcast channels 6 Interference channels 7 Channels with country eight basic broadcast channels nine Gaussian vector channels 10 dispensed lossless compression eleven Lossy compression with aspect info 12 disbursed lossy compression thirteen a number of description coding 14 Joint source–channel coding          ,     half III.   15 Graphical networks sixteen Relay channels 17 Interactive channel coding     18 Discrete memoryless networks 19 Gaussian networks 20 Compression over graphical networks xxii Preface half IV. ,       21 conversation for computing 23 instant fading channels    22 details theoretic secrecy 24 Networking and data idea as well as the dependence graphs for every half, we offer under a few interestbased dependence graphs. conversation. ,   ,              info compression. ,  , , ,   Abbas El Gamal Young-Han Kim      Palo Alto, California los angeles Jolla, California July  Acknowledgments the advance of this e-book was once really a group attempt. Many colleagues, educating assistants of our classes on community info concept, and our postdocs and PhD scholars supplied beneficial enter at the content material, association, and exposition of the ebook, and proofread prior drafts. at the beginning, we're indebted to Tom hide. He taught us every little thing we all know approximately info thought, inspired us to write down this booklet, and supplied a number of insightful reviews. we're additionally indebted to our educating assistants—Ehsan Ardestanizadeh, Chiao-Yi Chen, Yeow-Khiang Chia, Shirin Jalali, Paolo Minero, Haim Permuter, Han-I Su, Sina Zahedi, and Lei Zhao—for their beneficial contributions to the improvement of this e-book. particularly, we thank Sina Zahedi for aiding with the 1st set of lecture notes that eventually ended in this e-book. We thank Han-I Su for his contributions to the chapters on quadratic Gaussian resource coding and disbursed computing and his thorough proofreading of the complete draft. Yeow-Khiang Chia made priceless contributions to the chapters on details theoretic secrecy and resource coding over graphical networks, contributed numerous difficulties, and proofread many components of the e-book. Paolo Minero helped with many of the fabric within the bankruptcy on details idea and networking. we're additionally thankful to our PhD scholars. Bernd Bandemer contributed to the bankruptcy on interference channels and proofread a number of components of the ebook. Sung Hoon Lim contributed to the chapters on discrete memoryless and Gaussian networks. James Mammen helped with the 1st draft of the lecture notes on scaling legislation.

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