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Underground Channel Model for Visible Light Wireless Communication based on Neural Networks
An accurate channel model is both essential and challenging when designing a re-liable wireless Visible Light Communication (VLC) system. Modeling the channel in a restricted and harsh environment such as an underground mine, is even more difficult. The objective in our work is to investigate a suitable design of a VLC link for an underground environment, while providing a reliable connectivity between the optical transmitter and optical receiver. In this paper, we present an experimental study that aims to determine a general model of an underground mine channel. Based on a mathematical model and neural networks (NNs) principles we establish the key characteristics of a reliable wireless visible light communication in underground mine taking into account the special environment.