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Using LSTM Model(s) to estimate the state of a deep fading channel

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Channel State Model Estimation

This code was written in MATLAB making use of the communications toolbox for wireless channel simulation. Further, I created an Long Short-Term Memory (LSTM) Model for predicting the channel state (that is, how much of my transmission will reach its intended target?).

How it works:

First, a number of transmission through a wireless channel are simulated. This is then saved in memory and used to train a LSTM model, and its accuarcy is evaluated.

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The next to-do is to make this into a classifier: rather than estimating the channel using knowledge from the receiver (which is unrealistic), can you estimate the channel using incoming transmissions only? What about another node's transmissions?

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Using LSTM Model(s) to estimate the state of a deep fading channel

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