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A Real-Time Channel Prediction Model Based on Neural Networks for Dedicated Short-Range Communications
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...
Sparad:
| I publikationen: | Sensors (Basel) |
|---|---|
| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6721234/ https://ncbi.nlm.nih.gov/pubmed/31412691 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19163541 |
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