Published July 2019 | Version Submitted
Book Section - Chapter Open

A Local Perspective on the Edge Removal Problem

  • 1. ROR icon University at Buffalo, State University of New York
  • 2. ROR icon California Institute of Technology

Abstract

The edge removal problem studies the loss in network coding rates that results when a network communication edge is removed from a given network. It is known, for example, that in networks restricted to linear coding schemes and networks restricted to Abelian group codes, removing an edge e^∗ with capacity R_(e^∗) reduces the achievable rate on each source by no more than R_(e^∗). In this work, we seek to uncover larger families of encoding functions for which the edge removal statement holds. We take a local perspective: instead of requiring that all network encoding functions satisfy certain restrictions (e.g., linearity), we limit only the function carried on the removed edge e^∗. Our central results give sufficient conditions on the function carried by edge e^∗ in the code used to achieve a particular rate vector under which we can demonstrate the achievability of a related rate vector once e^∗ is removed.

Additional Information

© 2019 IEEE. Work supported in part by NSF grants CCF-1526771, CCF-1527524 and CCF-1817241.

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Additional details

Identifiers

Eprint ID
99071
DOI
10.1109/isit.2019.8849282
Resolver ID
CaltechAUTHORS:20191004-100329963

Funding

NSF
CCF-1526771
NSF
CCF-1527524
NSF
CCF-1817241

Dates

Created
2019-10-04
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field