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Queue-proportional rate allocation with per-link information in multihop wireless networks

Author

Listed:
  • Bin Li

    (University of Illinois at Urbana-Champaign)

  • R. Srikant

    (University of Illinois at Urbana-Champaign)

Abstract

The backpressure scheduling algorithm for multihop wireless networks is known to be throughput optimal, but it requires each node to maintain per-destination queues. Recently, a clever generalization of processor sharing has been proposed which is also throughput optimal, but which only uses per-link queues. Here, we propose another algorithm, called Queue-Proportional Rate Allocation (QPRA), which also only uses per-link queues and allocates service rates to links in proportion to their queue lengths, and employs the Serve-In-Random-Order queueing discipline within each link. Through fluid limit techniques and using a novel Lyapunov function, we show that the QPRA algorithm achieves the maximum throughput. We demonstrate an advantage of QPRA by showing that, for the so-called primary interference model, it is able to develop a low-complexity scheduling scheme which approximates QPRA and achieves a constant fraction of the maximum throughput region, independent of network size.

Suggested Citation

  • Bin Li & R. Srikant, 2016. "Queue-proportional rate allocation with per-link information in multihop wireless networks," Queueing Systems: Theory and Applications, Springer, vol. 83(3), pages 329-359, August.
  • Handle: RePEc:spr:queues:v:83:y:2016:i:3:d:10.1007_s11134-016-9490-1
    DOI: 10.1007/s11134-016-9490-1
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    Cited by:

    1. Seva Shneer & Alexander Stolyar, 2020. "Stability conditions for a decentralised medium access algorithm: single- and multi-hop networks," Queueing Systems: Theory and Applications, Springer, vol. 94(1), pages 109-128, February.
    2. Maury Bramson & Bernardo D’Auria & Neil Walton, 2017. "Proportional Switching in First-in, First-out Networks," Operations Research, INFORMS, vol. 65(2), pages 496-513, April.

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