Methods for optimizing the location of base stations for indoor wireless communications

Zhong Ji; Tapan Kumar Sarkar; Bin Hong Li

doi:10.1109/TAP.2002.802155

Methods for optimizing the location of base stations for indoor wireless communications

Zhong Ji, Tapan Kumar Sarkar, Bin Hong Li

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

When designing wireless communication systems, it is very important to know the optimum locations for the base station antennas. In this letter, a model has been developed to set up an optimization problem, the solution of which provides the information for the optimum location of the base station antennas particularly for an indoor environment. Several methods for the optimization of the cost function are presented and the final results are compared with each other. This methodology can be applied for the design and planning of location of base station antennas for indoor wireless communication systems. Two numerical examples have been presented to illustrate the application of this methodology.

Original language	English (US)
Pages (from-to)	1481-1483
Number of pages	3
Journal	IEEE Transactions on Antennas and Propagation
Volume	50
Issue number	10
DOIs	https://doi.org/10.1109/TAP.2002.802155
State	Published - Oct 2002

Keywords

Indoor wireless communication
Optimization
Path loss
Propagation model

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TAP.2002.802155

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title = "Methods for optimizing the location of base stations for indoor wireless communications",

abstract = "When designing wireless communication systems, it is very important to know the optimum locations for the base station antennas. In this letter, a model has been developed to set up an optimization problem, the solution of which provides the information for the optimum location of the base station antennas particularly for an indoor environment. Several methods for the optimization of the cost function are presented and the final results are compared with each other. This methodology can be applied for the design and planning of location of base station antennas for indoor wireless communication systems. Two numerical examples have been presented to illustrate the application of this methodology.",

keywords = "Indoor wireless communication, Optimization, Path loss, Propagation model",

author = "Zhong Ji and {Kumar Sarkar}, Tapan and Li, {Bin Hong}",

note = "Funding Information: Manuscript received January 23 2001; revised July 20, 2001. This work was supported in part by the National Science Foundation under Grant ECS-9901361. Z. Ji and T. K. Sarkar are with the Department of Electronic Engineering and Computer Science, Syracuse University, Syracuse, NY 13244-1240 USA (e-mail: [email protected]; [email protected]). B.-H. Li is with the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200030, China (e-mail: [email protected]). Digital Object Identifier 10.1109/TAP.2002.802155",

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doi = "10.1109/TAP.2002.802155",

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AU - Li, Bin Hong

N1 - Funding Information: Manuscript received January 23 2001; revised July 20, 2001. This work was supported in part by the National Science Foundation under Grant ECS-9901361. Z. Ji and T. K. Sarkar are with the Department of Electronic Engineering and Computer Science, Syracuse University, Syracuse, NY 13244-1240 USA (e-mail: [email protected]; [email protected]). B.-H. Li is with the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200030, China (e-mail: [email protected]). Digital Object Identifier 10.1109/TAP.2002.802155

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N2 - When designing wireless communication systems, it is very important to know the optimum locations for the base station antennas. In this letter, a model has been developed to set up an optimization problem, the solution of which provides the information for the optimum location of the base station antennas particularly for an indoor environment. Several methods for the optimization of the cost function are presented and the final results are compared with each other. This methodology can be applied for the design and planning of location of base station antennas for indoor wireless communication systems. Two numerical examples have been presented to illustrate the application of this methodology.

AB - When designing wireless communication systems, it is very important to know the optimum locations for the base station antennas. In this letter, a model has been developed to set up an optimization problem, the solution of which provides the information for the optimum location of the base station antennas particularly for an indoor environment. Several methods for the optimization of the cost function are presented and the final results are compared with each other. This methodology can be applied for the design and planning of location of base station antennas for indoor wireless communication systems. Two numerical examples have been presented to illustrate the application of this methodology.

KW - Indoor wireless communication

KW - Optimization

KW - Path loss

KW - Propagation model

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Methods for optimizing the location of base stations for indoor wireless communications

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Keywords

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