Optimization Model for Antenna Positioning in Indoor Environments Using 2-D Ray-Tracing Technique Associated to a Real-Coded Genetic Algorithm

被引：19

作者：

Grubisic, S. ^{[1
]}

Carpes, W. P., Jr. ^{[1
]}

Bastos, J. P. A. ^{[1
]}

机构：

[1] Univ Fed Santa Catarina, EEL, GRUCAD, BR-88040900 Florianopolis, SC, Brazil

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2009年 / 45卷 / 03期

关键词：

Genetic algorithms; indoor radio communication; prediction methods; propagation;

D O I：

10.1109/TMAG.2009.2012760

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a coverage prediction model using the 2-D ray-tracing technique associated to a real-coded mono-objective Genetic Algorithm for optimizing the base station antenna location in an indoor environment. The model was applied in two examples of indoor scenarios to find the best location of the base station antenna by maximizing the lower electric field in the coverage area.

引用

页码：1626 / 1629

页数：4