Information Theory and Network Coding
By Raymond W. Yeung. 2008
911 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/fc45cd4563ce8ab02a5fe5facb22ea69864d9ef0
How researchers see this paper
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In Computer Networks and Communications
- Andreas F. Molisch
- Giuseppe Caire
- Mingyue Ji
- A. Mukherjee
- A. L. Swindlehurst
- Jing Huang
- David Gross
- Paul L. Williams
Citations in the corpus
- Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives (2009, background): “McGill (1954) proposed calling this possible reduction of uncertainty “configurational information” (Jakulin & Bratko, 2004; Yeung, 2008).2 Because the information is configurational, the reduction of uncertainty cannot be attributed to one of the contributors.”
- Information–theoretic implications of quantum causal structures (2014, background): “[11] R.”
- Fundamental Limits of Caching in Wireless D2D Networks (2014, background): “Similarly, when t = 1 , by using the linear random hashing scheme, there are again at least K distinct coded symbols for each packet of each file cached in the network with high probability as the field size ( 2 F/K ) grows large.”
- Nonnegative Decomposition of Multivariate Information (2010, background): “Interaction information is also the natural generalization of mutual information when Shannon entropy is viewed as a signed measure on information diagrams [12, 14, 15].”
- A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering (2018, background): “This yields the above Chain (6) which further achieves group-theoretic interpretations of various information-theoretic results, bringing together information theory and group theory (Chan and Yeung, 2002; Yeung, 2008, chap.”
- Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey (2010, background): “k coding is a paradigm for multi-hop wireline and wireless networks that allows intermediate nodes to ‘mix’ packets or signals received from multiple paths, with the objective of improving throughput [228]. Therefore, such networks are vulnerable to eavesdropping, akin to other networks discussed th”