An Approximation Approach to Network Information Theory
| AUTHOR | Diggavi, Suhas N.; Diggavi, Suhas N.; Tian, Chao et al. |
| PUBLISHER | Now Publishers (09/04/2015) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
The interaction between communication entities, which is unique in the network setting, have been at the root of many difficult challenges in communications and information theory. This monograph advocates a sequential approach to make progress on the network communication problem. In order to do this, the channel (and source) model to capture the essence of the network communication problem are simplified and connected to the original problem. This leads to the concept of approximate characterizations of the channel capacity region and source coding rate regions. Approximate solutions to information theory problems are not new. However, they are by and far isolated results each with its own proof technique. This monograph describes a breakthrough systematic approach with two levels of approximation that can be applied to many problems. It concludes by demonstrating its application to four central problems in network information theory: (1) Relay networks, (2) Interference channels, (3) Multiple descriptions problem, and (4) Joint source-channel coding over networks. This monograph is intended for researchers and graduate students working at the forefront of research into network and communications problems.
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Product Format
Product Details
ISBN-13:
9781680830262
ISBN-10:
1680830260
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
200
Carton Quantity:
40
Product Dimensions:
6.14 x 0.42 x 9.21 inches
Weight:
0.63 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Information Theory
Computers | Mobile & Wireless Communications
Dewey Decimal:
006.76
Descriptions, Reviews, Etc.
publisher marketing
The interaction between communication entities, which is unique in the network setting, have been at the root of many difficult challenges in communications and information theory. This monograph advocates a sequential approach to make progress on the network communication problem. In order to do this, the channel (and source) model to capture the essence of the network communication problem are simplified and connected to the original problem. This leads to the concept of approximate characterizations of the channel capacity region and source coding rate regions. Approximate solutions to information theory problems are not new. However, they are by and far isolated results each with its own proof technique. This monograph describes a breakthrough systematic approach with two levels of approximation that can be applied to many problems. It concludes by demonstrating its application to four central problems in network information theory: (1) Relay networks, (2) Interference channels, (3) Multiple descriptions problem, and (4) Joint source-channel coding over networks. This monograph is intended for researchers and graduate students working at the forefront of research into network and communications problems.
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