Implementing utility-optimal CSMA

  • Authors:
  • Jinsung Lee;Junhee Lee;Yung Yi;Song Chong;Alexandre Proutière;Mung Chiang

  • Affiliations:
  • Dept. of Electrical Engineering, KAIST, South Korea;Dept. of Electrical Engineering, KAIST, South Korea;Dept. of Electrical Engineering, KAIST, South Korea;Dept. of Electrical Engineering, KAIST, South Korea;Microsoft Research, Cambridge, UK;Dept. of Electrical Engineering, Princeton University

  • Venue:
  • Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
  • Year:
  • 2009

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Abstract

Hundreds of papers over the last two decades have studied the theory of distributed scheduling in wireless networks, including a number of them on stability or utility maximizing random access. Several publications in 2008 studied an adaptive CSMA that in theory can approach utility optimality without any message passing under a number of assumptions. This paper reports the results from the first deployment of such random access algorithms through an implementation over conventional 802.11 hardware, an on-going effort that started in summer 2009. It shows both a confirmation that Utility Optimal CSMA may work well in practice even with an implementation over legacy equipment, and a wide array of gaps between theory and practice in the field of wireless scheduling. This paper therefore also brainstorms the discovery of and bridging over these gaps, and the implementation-inspired questions on modeling and analysis of scheduling algorithms.