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Edge-Cut Bounds on Network Coding Rates

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TLDR
A new bound on communication rates is developed that applies to network coding, which is a promising active network application that has processors transmit packets that are general functions, for example a bit-wise XOR of selected received packets.
Abstract
Active networks are network architectures with processors that are capable of executing code carried by the packets passing through them. A critical network management concern is the optimization of such networks and tight bounds on their performance serve as useful design benchmarks. A new bound on communication rates is developed that applies to network coding, which is a promising active network application that has processors transmit packets that are general functions, for example a bit-wise XOR, of selected received packets. The bound generalizes an edge-cut bound on routing rates by progressively removing edges from the network graph and checking whether certain strengthened d-separation conditions are satisfied. The bound improves on the cut-set bound and its efficacy is demonstrated by showing that routing is rate-optimal for some commonly cited examples in the networking literature.

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Networks, Matroids, and Non-Shannon Information Inequalities

TL;DR: The Vamos network is constructed, and it is proved that Shannon-type information inequalities are insufficient even for computing network coding capacities of multiple-unicast networks.
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Principles Of Cognitive Radio

TL;DR: 1. The concept of cognitive radio, capacity of cognitiveRadio networks, and Propagation issues for cognitive radio: a review.
References
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Journal ArticleDOI

On the capacity of multiple unicast sessions in undirected graphs

TL;DR: Using entropy calculus, this work provides the first verification of the Li-Li conjecture that in an undirected network with multiple unicast sessions, network coding does not lead to any coding gain for this network.
Proceedings ArticleDOI

Network information flow: limits and achievability

TL;DR: An information theoretic upper bound on the information flow in discrete memoryless networks is found and proves the optimality of the coding scheme proposed in it.
Journal ArticleDOI

ANTS: network services without the red tape

TL;DR: ANTS is discussed, a new approach to deploying network services, which bases interoperability on a programmable network model, not on individual networking protocols, which can hasten progress toward a more responsive Internet.
Proceedings ArticleDOI

Active virtual network management prediction: complexity as a framework for prediction, optimization, and assurance

TL;DR: A complexity-based framework for information assurance that attempts to take a holistic view of vulnerability analysis and describes the relationship among algorithmic compression, complexity, and prediction accuracy within an active network.
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