PDF(Pubmed)
Abstract：
The precise placement of antennas is essential to ensure effective coverage, service quality, and network capacity in wireless communications, particularly given the exponential growth of mobile connectivity. The antenna positioning problem (APP) has evolved from theoretical approaches to practical solutions employing advanced algorithms, such as evolutionary algorithms. This study focuses on developing innovative web tools harnessing genetic algorithms to optimize antenna positioning, starting from propagation loss calculations. To achieve this, seven empirical models were reviewed and integrated into an antenna positioning web tool. Results demonstrate that, with minimal configuration and careful model selection, a detailed analysis of antenna positioning in any area is feasible. The tool was developed using Java 17 and TypeScript 5.1.6, utilizing the JMetal framework to apply genetic algorithms, and features a React-based web interface facilitating application integration. For future research, consideration is given to implementing a server capable of analyzing the environment based on specific area selection, thereby enhancing the precision and objectivity of antenna positioning analysis.
摘要：
天线的精确放置对于确保有效覆盖至关重要，服务质量,和无线通信中的网络容量，特别是考虑到移动连接的指数增长。天线定位问题（APP）已经从理论方法发展到采用先进算法的实际解决方案，比如进化算法。这项研究的重点是开发创新的网络工具，利用遗传算法优化天线定位，从传播损耗计算开始。为了实现这一点，回顾了七个经验模型，并将其集成到天线定位网工具中。结果表明,以最少的配置和仔细的型号选择，详细分析天线定位在任何区域都是可行的。该工具是使用Java17和TypeScript5.1.6开发的，利用JMetal框架应用遗传算法，并具有基于React的Web界面，可促进应用程序集成。为了将来的研究，考虑实现能够根据特定区域选择分析环境的服务器，从而提高天线定位分析的准确性和客观性。
