The paper describes an online deep learning algorithm for the adaptive modulation and
coding in 5G Massive MIMO. The algorithm is based on a fully-connected neural network,
which is initially trained on the output of the traditional algorithm and then is incrementally
retrained by the service feedback of its own output. We show advantage of our solution over
the state-of-the-art Q-Learning approach. We provide system-level simulation results to
support this conclusion in various scenarios with different channel characteristics and …

The letter describes an online deep learning algorithm (ODL) for adaptive modulation and
coding in massive MIMO. The algorithm is based on a fully connected neural network, which
is initially trained on the output of the traditional algorithm and then incrementally retrained
by the service feedback of its output. We show the advantage of our solution over the state-of-
the-art Q-learning approach. We provide system-level simulation results to support this
conclusion in various scenarios with different channel characteristics and different user …