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Air-to-Air Path Loss Prediction Based on Machine Learning Methods in Urban Environments
المؤلفون المشاركون
He, Zunwen
Zhang, Yan
Wen, Jinxiao
Yang, Guanshu
Luo, Xinran
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-06-13
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Recently, unmanned aerial vehicle (UAV) plays an important role in many applications because of its high flexibility and low cost.
To realize reliable UAV communications, a fundamental work is to investigate the propagation characteristics of the channels.
In this paper, we propose path loss models for the UAV air-to-air (AA) scenario based on machine learning.
A ray-tracing software is employed to generate samples for multiple routes in a typical urban environment, and different altitudes of Tx and Rx UAVs are taken into consideration.
Two machine-learning algorithms, Random Forest and KNN, are exploited to build prediction models on the basis of the training data.
The prediction performance of trained models is assessed on the test set according to the metrics including the mean absolute error (MAE) and root mean square error (RMSE).
Meanwhile, two empirical models are presented for comparison.
It is shown that the machine-learning-based models are able to provide high prediction accuracy and acceptable computational efficiency in the AA scenario.
Moreover, Random Forest outperforms other models and has the smallest prediction errors.
Further investigation is made to evaluate the impacts of five different parameters on the path loss.
It is demonstrated that the path visibility is crucial for the path loss.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Yan& Wen, Jinxiao& Yang, Guanshu& He, Zunwen& Luo, Xinran. 2018. Air-to-Air Path Loss Prediction Based on Machine Learning Methods in Urban Environments. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216303
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Yan…[et al.]. Air-to-Air Path Loss Prediction Based on Machine Learning Methods in Urban Environments. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1216303
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Yan& Wen, Jinxiao& Yang, Guanshu& He, Zunwen& Luo, Xinran. Air-to-Air Path Loss Prediction Based on Machine Learning Methods in Urban Environments. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216303
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1216303
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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