Path Loss Modeling of Mobile Communication Channel Based on ANN

摘要：

There are two types of fading pattern in mobile communications: large-scale fading and small-scale fading. Path loss and shadow fading belong to large-scale fading, while multi-path fading belongs to small-scale fading. Artificial neural networks are nonlinear dynamic system with the property of parallel information processing, adaptable processing and excellent learning and imitation. In this paper, on the basis of studying on the technique of artificial neural network based modeling method, path loss modeling of mobile communication channel based on ANN has been realized, according to MIMO channel environment simulation parameters provided by 3GPP standards. The simulation results indicate that artificial neural networks with the property of self-adaptive are effective for path loss modeling.

关键词： channel modeling artificial neural network path loss

作者: Yong-tao Ma Kai-hua Liu Lin Zhu

作者单位: School of Electronic Information Engineering, Tianjin University Tianjin, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1427-1430

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）