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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

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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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Proceedings ArticleDOI

Network planning in wireless ad hoc networks: a cross-Layer approach

TL;DR: An iterative cross-layer optimization is proposed, which alternates between jointly optimizing the timesharing in the medium access layer and the sum of max of flows assignment in the network layer and updating the operational states in the physical layer, which results in a set of achievable tradeoffs between throughput and energy efficiency.
Journal ArticleDOI

On the capacity of information networks

TL;DR: An outer bound on the rate region of noise-free information networks is given and it is shown that multicommodity flow solutions achieve the capacity in an infinite class of undirected graphs, thereby making progress on a conjecture of Li and Li.

On the Max Flow Min Cut Theorem of Networks.

TL;DR: In this paper, it was shown that Menger's theorem and the Max Flow Min Cut Theorem on networks are applications of the duality theorem of linear inequality theory, and that they can be applied to networks.
Journal ArticleDOI

An information-theoretic view of network management

TL;DR: It is shown that the minimum node-based requirement for failures of links adjacent to a single receiver is achieved with receiver-based schemes, and a lower bound for arbitrary connections and an upper bound for multitransmitter multicast connections are included.
Proceedings ArticleDOI

On the utility of network coding in dynamic environments

TL;DR: This work considers a distributed randomized network coding approach that enables efficient decentralized operation of multi-source multicast networks and shows that this approach provides substantial benefits over traditional routing methods in dynamically varying environments.
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