Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm
IEEE Communications Letters(2022)
摘要
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. ...
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关键词
Training,Signal to noise ratio,Interference,Deep learning,Neural networks,Massive MIMO,Throughput
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