Cross-layer optimization for end-to-end rate allocation in multi-radio wireless mesh networks

  • Authors:
  • Jian Tang;Guoliang Xue;Weiyi Zhang

  • Affiliations:
  • Department of Computer Science, Montana State University, Bozeman, MT;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ

  • Venue:
  • Wireless Networks
  • Year:
  • 2009

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Abstract

In this paper, we study rate allocation for a set of end-to-end communication sessions in multi-radio wireless mesh networks. We propose cross-layer schemes to solve the joint rate allocation, routing, scheduling, power control and channel assignment problems with the goals of maximizing network throughput and achieving certain fairness. Fairness is addressed using both a simplified max-min fairness model and the well-known proportional fairness model. Our schemes can also offer performance upper bounds such as an upper bound on the maximum throughput. Numerical results show that our proportional fair rate allocation scheme achieves a good tradeoff between throughput and fairness.