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Open AccessArticle

A Real-Time Channel Prediction Model Based on Neural Networks for Dedicated Short-Range Communications

1
School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
2
Department of Electrical and Computer Engineering, University of Michigan, Dearborn, MI 48128, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(16), 3541; https://doi.org/10.3390/s19163541
Received: 22 June 2019 / Revised: 30 July 2019 / Accepted: 10 August 2019 / Published: 13 August 2019
(This article belongs to the Special Issue Internet of Vehicles)
Based on a multiple layer perceptron neural networks, this paper presents a real-time channel prediction model, which could predict channel parameters such as path loss (PL) and packet drop (PD), for dedicated short-range communications (DSRC). The dataset used for training, validating, and testing was extracted from experiments under several different road scenarios including highways, local areas, residential areas, state parks, and rural areas. The study shows that the proposed PL prediction model outperforms conventional empirical models. Meanwhile, the proposed PD prediction model achieves higher prediction accuracy than the statistical one. Moreover, the prediction model can operate in real-time, through updating its training set, to predict channel parameters. Such a model can be easily extended to the applications of autonomous driving, the Internet of Things (IoT), 5th generation cellular network technology (5G) and many others. View Full-Text
Keywords: channel models; neural networks; wireless communications; prediction methods; vehicular and wireless technologies; dedicated short-range communication channel models; neural networks; wireless communications; prediction methods; vehicular and wireless technologies; dedicated short-range communication
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MDPI and ACS Style

Zhang, T.; Liu, S.; Xiang, W.; Xu, L.; Qin, K.; Yan, X. A Real-Time Channel Prediction Model Based on Neural Networks for Dedicated Short-Range Communications. Sensors 2019, 19, 3541.

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