Physics-inspired methods for networking and communications

David Saad*, Chi Ho Yeung, Georgios Rodolakis, Dimitris Syrivelis, Iordanis Koutsopoulos, Leandros Tassiulas, Rüdiger Urbanke, Paolo Giaccone, Emilio Leonardi

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Advances in statistical physics relating to our understanding of large-scale complex systems have recently been successfully applied in the context of communication networks. Statistical mechanics methods can be used to decompose global system behavior into simple local interactions. Thus, large-scale problems can be solved or approximated in a distributed manner with iterative lightweight local messaging. This survey discusses how statistical physics methodology can provide efficient solutions to hard network problems that are intractable by classical methods. We highlight three typical examples in the realm of networking and communications. In each case we show how a fundamental idea of statistical physics helps solve the problem in an efficient manner. In particular, we discuss how to perform multicast scheduling with message passing methods, how to improve coding using the crystallization process, and how to compute optimal routing by representing routes as interacting polymers.

Original languageEnglish
Pages (from-to)144-151
Number of pages8
JournalIEEE Communications Magazine
Volume52
Issue number11
DOIs
Publication statusPublished - Nov 2014

Bibliographical note

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Funding: EU FP7-265496 project STAMINA

Keywords

  • decoding
  • network architecture
  • optimization
  • physics
  • computers ports
  • routing protocols
  • statistical analysis

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    Saad, D., Yeung, C. H., Rodolakis, G., Syrivelis, D., Koutsopoulos, I., Tassiulas, L., Urbanke, R., Giaccone, P., & Leonardi, E. (2014). Physics-inspired methods for networking and communications. IEEE Communications Magazine, 52(11), 144-151. https://doi.org/10.1109/MCOM.2014.6957155