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

Author:

Zhang Yang1ORCID,Chong Edwin K. P.1,Hannig Jan2,Estep Donald3ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523-1373, USA

2. Department of Statistics and Operation Research, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3260, USA

3. Department of Statistics, Colorado State University, Fort Collins, CO 80523-1373, USA

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 byN, the number of nodes in the network. AsNgoes 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.

Funder

National Science Foundation

Publisher

Hindawi Limited

Subject

Applied Mathematics,Analysis

Reference36 articles.

1. Continuum modeling of large networks

2. MIT Press Series in Signal Processing, Optimization, and Control, 6,1984

3. A Stochastic Approximation Method

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