TY - GEN
T1 - A Local Perspective on the Edge Removal Problem
AU - Wei, Fei
AU - Langberg, Michael
AU - Effros, Michelle
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - 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 Re reduces the achievable rate on each source by no more than Re. 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.
AB - 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 Re reduces the achievable rate on each source by no more than Re. 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.
UR - https://www.scopus.com/pages/publications/85073150564
U2 - 10.1109/ISIT.2019.8849282
DO - 10.1109/ISIT.2019.8849282
M3 - Conference contribution
AN - SCOPUS:85073150564
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 191
EP - 195
BT - 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Information Theory, ISIT 2019
Y2 - 7 July 2019 through 12 July 2019
ER -