scispace - formally typeset
Proceedings ArticleDOI

On the Generalized Network Sharing bound and edge-cut bounds for network coding

TLDR
It is shown that the Generalized Network Sharing bound is equivalent to a functional dependence bound in the literature and the problem of computing the GNS bound is NP-complete, even for two-unicast networks.
Abstract
We consider sum-rate edge-cut bounds on network coding rates for the multiple unicast problem. We first show that the Generalized Network Sharing (GNS) bound is equivalent to a functional dependence bound in the literature. After defining a notion of profile of an edge-cut, we show that the only profiles for which, every edge-cut with the said profile leads to a fundamental bound on network coding rates, are the so-called GNS profiles and further, we quantify with a tight constant factor, the amount by which network coding can potentially beat edge-cuts associated with other profiles. Finally, we show that the problem of computing the GNS bound is NP-complete, even for two-unicast networks.

read more

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

A generalized cut-set bound for deterministic multi-flow networks and its applications

TL;DR: In this paper, a general outer bound for the sum capacity of general multi-unicast deterministic networks with general connectivity is presented, which can be interpreted as applying the cut-set bound to concatenated copies of the original network with a special restriction on the allowed transmit signal distributions.

A study of some problems in network information theory

TL;DR: This dissertation suggests that a significant aspect of the difficulty in studying limits of communication over networks lies in the unidirectional aspects of the problem, and finds that simple schemes are approximately optimal in achieving these fundamental limits.
Proceedings ArticleDOI

Random threshold graphs with exponential fitness: The width of the phase transition for connectivity

TL;DR: Simulations show that the zero-one law for graph connectivity exhibits a sharp phase transition, and formalize this observation by providing exact asymptotics for the width of the phase transition in the many node regime.
Book

Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management

TL;DR: A unified approach to relaying and interference management is taken, and tools to study the fundamentals of multi-hop multi-flowwireless networks are developed, and the new notion of paths with manageable interference is introduced.
Posted Content

Linear Network Coding for Two-Unicast-$Z$ Networks: A Commutative Algebraic Perspective and Fundamental Limits

TL;DR: In this paper, the authors consider a two-unicast-Z$ network over a directed acyclic graph of unit capacitated edges, and show that vector linear codes outperform scalar linear codes and non-linear codes in general, and develop a commutative algebraic approach to derive linear network coding achievability results.
References
More filters
Book

Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Journal ArticleDOI

Network information flow

TL;DR: This work reveals that it is in general not optimal to regard the information to be multicast as a "fluid" which can simply be routed or replicated, and by employing coding at the nodes, which the work refers to as network coding, bandwidth can in general be saved.
Journal ArticleDOI

An algebraic approach to network coding

TL;DR: For the multicast setup it is proved that there exist coding strategies that provide maximally robust networks and that do not require adaptation of the network interior to the failure pattern in question.
Journal ArticleDOI

The Complexity of Multiterminal Cuts

TL;DR: It is shown that the problem becomes NP-hard as soon as $k=3$, but can be solved in polynomial time for planar graphs for any fixed $k$, if the planar problem is NP- hard, however, if £k$ is not fixed.
Journal ArticleDOI

Insufficiency of linear coding in network information flow

TL;DR: It is shown that the network coding capacity of this counterexample network is strictly greater than the maximum linear coding capacity over any finite field, so the network is not even asymptotically linearly solvable.
Related Papers (5)