Network coding aware resource allocation to improve throughput

Dan Zhang, Kai Su, Narayan Mandayam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the past decade, remarkable progress has been made in the area of network coding in terms of theory, code design, and applications. However, from a cross-layer perspective, the understanding of resource allocation for random network coding (RNC) and its impact on network throughput has been limited. In this article we address the problem of resource allocation for RNC in a general wireless network, using the recent framework that models the dynamics of RNC using a system of differential equations. Based on this framework, we design a gradient algorithm that can be used to improve a variety of throughput objectives.

Original languageEnglish (US)
Title of host publication2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012
Pages1311-1315
Number of pages5
DOIs
StatePublished - Oct 22 2012
Event2012 IEEE International Symposium on Information Theory, ISIT 2012 - Cambridge, MA, United States
Duration: Jul 1 2012Jul 6 2012

Publication series

NameIEEE International Symposium on Information Theory - Proceedings

Other

Other2012 IEEE International Symposium on Information Theory, ISIT 2012
CountryUnited States
CityCambridge, MA
Period7/1/127/6/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

Keywords

  • Random network coding
  • differential equation
  • dynamical system
  • power control
  • resource allocation

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  • Cite this

    Zhang, D., Su, K., & Mandayam, N. (2012). Network coding aware resource allocation to improve throughput. In 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012 (pp. 1311-1315). [6283070] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2012.6283070