Approximation algorithms for throughput maximization in wireless networks with delay constraints

  • Authors:
  • Guanhong Pei;Srinivasan Parthasarathy;Aravind Srinivasan;Anil Kumar S. Vullikanti

  • Affiliations:
  • Department of Electrical and Computer Engineering and Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA;IBM T. J. Watson Research Center, Hawthorne, NY;Department of Computer Science and Institute for Advanced Computer Studies, University of Maryland, College Park, MD;Department of Computer Science and Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA

  • Venue:
  • IEEE/ACM Transactions on Networking (TON)
  • Year:
  • 2013

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Abstract

We study the problem of throughput maximization in multihop wireless networks with end-to-end delay constraints for each session. This problem has received much attention starting with the work of Grossglauser and Tse (2002), and it has been shown that there is a significant tradeoff between the end-to-end delays and the total achievable rate. We develop algorithms to compute such tradeoffs with provable performance guarantees for arbitrary instances, with general interference models. Given a target delay-bound Δ(c) for each session c, our algorithm gives a stable flow vector with a total throughput within a factor of O(log Δm/log Δm) of the maximum, so that the persession (end-to-end) delay is O(((log Δm/log log Δm)Δ(c))2), where Δm = maxc{Δ(c)}; note that these bounds depend only on the delays, and not on the network size, and this is the first such result, to our knowledge.