Outdoor-To-Indoor Power Prediction For 768 Mhz Wireless Mobile Transmission Using Multilayer Perceptron
2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)(2018)
摘要
In this article, artificial neural networks are applied to data measured on a wireless indoor mobile communications scenario for 768 MHz transmission. Three multilayer perceptron (MLP) with backpropagation are applied to predict the signal power level in an environment with downlink (base station-to-mobile) wireless propagation. The MLP networks improve the general prediction when compared to traditional prediction models for both metrics used.
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关键词
multilayer perceptron, backpropagation, wireless communications, outdoor-indoor propagation
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