A Hybrid path loss prediction model based on artificial neural networks using empirical models for LTE and LTE-A at 800 MHz and 2600 MHz
This article presents the analysis of a hybrid, error correction-based, neural network model to predict the path loss for suburban areas at 800 MHz and 2600 MHz, obtained by combining empirical propagation models, ECC-33, Ericsson 9999, Okumura Hata, and 3GPP’s TR 36.942, with a feedforward Artifici...
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| Principais autores: | , , , , , |
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| Formato: | article |
| Idioma: | English |
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| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/31577 |
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