Optimization methods for base station placement in wireless applications

Research output: Contribution to journalConference articlepeer-review

Abstract

Current wireless design tools contain one or more propagation models whose purpose is to predict quantitative measures of system performance as a function of system parameters. A logical next step is to optimize predicted overall performance by choosing the best values for parameters that can be controlled by the provider and/or maintainer of the system. However, because the function to be optimized is often highly nonlinear and nasty (for example, unpredictably discontinuous, nondifferentiable, or noisy), only a limited number of optimization techniques can be applied. Direct search methods are well suited to finding the optimal placement of base stations, since they require only the value of the function to be optimized. In extensive numerical testing, we have found a customized variant of the Nelder-Mead `simplex' method to be reasonably efficient and reliable at finding local optima. Our experience with producing improved or optimal base station placements suggests that optimization can enhance understanding of propagation models as well as improve wireless system designs.

Original languageEnglish (US)
Pages (from-to)387-391
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume1
StatePublished - 1998
EventProceedings of the 1998 48th IEEE Vehicular Technology Conference, VTC'98. Part 3 (of 3) - Ottawa, Can
Duration: May 18 1998May 21 1998

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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