English

A Graph Minor Perspective to Multicast Network Coding

Information Theory 2013-05-22 v1 Data Structures and Algorithms math.IT

Abstract

Network Coding encourages information coding across a communication network. While the necessity, benefit and complexity of network coding are sensitive to the underlying graph structure of a network, existing theory on network coding often treats the network topology as a black box, focusing on algebraic or information theoretic aspects of the problem. This work aims at an in-depth examination of the relation between algebraic coding and network topologies. We mathematically establish a series of results along the direction of: if network coding is necessary/beneficial, or if a particular finite field is required for coding, then the network must have a corresponding hidden structure embedded in its underlying topology, and such embedding is computationally efficient to verify. Specifically, we first formulate a meta-conjecture, the NC-Minor Conjecture, that articulates such a connection between graph theory and network coding, in the language of graph minors. We next prove that the NC-Minor Conjecture is almost equivalent to the Hadwiger Conjecture, which connects graph minors with graph coloring. Such equivalence implies the existence of K4K_4, K5K_5, K6K_6, and KO(q/logq)K_{O(q/\log{q})} minors, for networks requiring F3\mathbb{F}_3, F4\mathbb{F}_4, F5\mathbb{F}_5 and Fq\mathbb{F}_q, respectively. We finally prove that network coding can make a difference from routing only if the network contains a K4K_4 minor, and this minor containment result is tight. Practical implications of the above results are discussed.

Keywords

Cite

@article{arxiv.1305.4905,
  title  = {A Graph Minor Perspective to Multicast Network Coding},
  author = {Xunrui Yin and Yan Wang and Zongpeng Li and Xin Wang and Xiangyang Xue},
  journal= {arXiv preprint arXiv:1305.4905},
  year   = {2013}
}

Comments

26 pages, 12 (sub-)figures, partially presented in INFOCOM 2013, submitted to Trans. IT

R2 v1 2026-06-22T00:19:59.332Z