Scheduling in multichannel wireless networks with flow-level dynamics

  • Authors:
  • Shihuan Liu;Lei Ying;R. Srikant

  • Affiliations:
  • Iowa State University, Ames, IA, USA;Iowa State University, Ames, IA, USA;University of Illinois at Urbana-Champaign, Urbana, IL, USA

  • Venue:
  • Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems
  • Year:
  • 2010

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Abstract

This paper studies scheduling in multichannel wireless networks with flow-level dynamics. We consider a downlink network with a single base station, M channels (frequency bands), and multiple mobile users (flows). We also assume mobiles dynamically join the network to receive finite-size files and leave after downloading the complete files. A recent study [16] has shown that the MaxWeight algorithm fails to be throughput-optimal under this flow-level dynamics. The main contribution of this paper is the development of joint channel-assignment and workload-based scheduling algorithms for multichannel downlink networks with dynamic flow arrivals/departures. We prove that these algorithms are throughput-optimal. Our simulations further demonstrate that a hybrid channel-assignment and workload-based scheduling algorithm significantly improves the network performance (in terms of both file-transfer delay and blocking probability) compared to the existing algorithms.