Optimization methods for base station placement in wireless applications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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)
Title of host publicationIEEE Vehicular Technology Conference
PublisherIEEE
Pages387-391
Number of pages5
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

Other

OtherProceedings of the 1998 48th IEEE Vehicular Technology Conference, VTC'98. Part 3 (of 3)
CityOttawa, Can
Period5/18/985/21/98

Fingerprint

Base stations
Systems analysis
Testing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Wright, M. (1998). Optimization methods for base station placement in wireless applications. In IEEE Vehicular Technology Conference (Vol. 1, pp. 387-391). IEEE.

Optimization methods for base station placement in wireless applications. / Wright, Margaret.

IEEE Vehicular Technology Conference. Vol. 1 IEEE, 1998. p. 387-391.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wright, M 1998, Optimization methods for base station placement in wireless applications. in IEEE Vehicular Technology Conference. vol. 1, IEEE, pp. 387-391, Proceedings of the 1998 48th IEEE Vehicular Technology Conference, VTC'98. Part 3 (of 3), Ottawa, Can, 5/18/98.
Wright M. Optimization methods for base station placement in wireless applications. In IEEE Vehicular Technology Conference. Vol. 1. IEEE. 1998. p. 387-391
Wright, Margaret. / Optimization methods for base station placement in wireless applications. IEEE Vehicular Technology Conference. Vol. 1 IEEE, 1998. pp. 387-391
@inproceedings{9bf3685d8d4042e39bfa146a2f64d445,
title = "Optimization methods for base station placement in wireless applications",
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.",
author = "Margaret Wright",
year = "1998",
language = "English (US)",
volume = "1",
pages = "387--391",
booktitle = "IEEE Vehicular Technology Conference",
publisher = "IEEE",

}

TY - GEN

T1 - Optimization methods for base station placement in wireless applications

AU - Wright, Margaret

PY - 1998

Y1 - 1998

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0032309405&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032309405&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0032309405

VL - 1

SP - 387

EP - 391

BT - IEEE Vehicular Technology Conference

PB - IEEE

ER -