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Continuum Modeling and Control of Large Nonuniform Wireless Networks via Nonlinear Partial Differential Equations

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  • Yang Zhang
  • Edwin K. P. Chong
  • Jan Hannig
  • Donald Estep

Abstract

We introduce a continuum modeling method to approximate a class of large wireless networks by nonlinear partial differential equations (PDEs). This method is based on the convergence of a sequence of underlying Markov chains of the network indexed by , the number of nodes in the network. As goes to infinity, the sequence converges to a continuum limit, which is the solution of a certain nonlinear PDE. We first describe PDE models for networks with uniformly located nodes and then generalize to networks with nonuniformly located, and possibly mobile, nodes. Based on the PDE models, we develop a method to control the transmissions in nonuniform networks so that the continuum limit is invariant under perturbations in node locations. This enables the networks to maintain stable global characteristics in the presence of varying node locations.

Suggested Citation

  • Yang Zhang & Edwin K. P. Chong & Jan Hannig & Donald Estep, 2013. "Continuum Modeling and Control of Large Nonuniform Wireless Networks via Nonlinear Partial Differential Equations," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-16, April.
    • Handle: RePEc:hin:jnlaaa:262581
    DOI: 10.1155/2013/262581
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    Cited by:

    1. Donald A. Dawson & Jiashan Tang & Yiqiang Q. Zhao, 2019. "Performance Analysis of Joining the Shortest Queue Model Among a Large Number of Queues," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(04), pages 1-23, August.

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