Optimal scheduling for fair resource allocation in ad hoc networks with elastic and inelastic traffic

  • Authors:
  • Juan José Jaramillo;R. Srikant

  • Affiliations:
  • Department of Electrical and Computer Engineering, Iowa State University, Ames, IA and University of Illinois at Urbana-Champaign, Urbana, IL;Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL

  • Venue:
  • IEEE/ACM Transactions on Networking (TON)
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper studies the problem of congestion control and scheduling in ad hoc wireless networks that have to support a mixture of best-effort and real-time traffic. Optimization and stochastic network theory have been successful in designing architectures for fair resource allocation to meet long-term throughput demands. However, to the best of our knowledge, strict packet delay deadlines were not considered in this framework previously. In this paper, we propose a model for incorporating the quality-of-service (QoS) requirements of packets with deadlines in the optimization framework. The solution to the problem results in a joint congestion control and scheduling algorithm that fairly allocates resources to meet the fairness objectives of both elastic and inelastic flows and per-packet delay requirements of inelastic flows.