Optimizing the Design of a CDMA Cellular System Configuration with Multiple Criteria

Emanuel Melachrinoudis () and Bakhtiar Rosyidi ()

Annals of Operations Research, 2001, vol. 106, issue 1, 307-329

Abstract: This paper deals with the mathematical modeling and optimization of a code division multiple access (CDMA) cellular system configuration that seeks the optimal location, power, and antenna height of each base station in a service area, in order to optimize call quality, service coverage and total cost of system configuration. The factors affecting optimum selection are the non-uniform spatial demand in the service area, the propagation environment, the interference among users and among base stations, and other factors intrinsic to CDMA technology. The simulated annealing method supplemented by a demand allocation algorithm is implemented in a software package to solve this complex multiobjective nonlinear optimization problem. This research shows that simulated annealing is a viable method for obtaining “good quality” solutions to the wireless system configuration problem. A realistic case study dealing with the design of a cellular system configuration for the city of Cambridge, MA, and its surroundings, is developed to illustrate the modeling concept and the steps of the algorithm. Sensitivity analysis is performed to further analyze the configuration decision. Copyright Kluwer Academic Publishers 2001

Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1014574028174 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:106:y:2001:i:1:p:307-329:10.1023/a:1014574028174

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/A:1014574028174

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().