Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm

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...

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Veröffentlicht in:	IEEE communications letters Jg. 26; H. 4; S. 818 - 822
Hauptverfasser:	Bobrov, Evgeny, Kropotov, Dmitry, Lu, Hao, Zaev, Danila
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive algorithms Adaptive modulation and coding Algorithms Coding Deep learning Interference link adaptation Machine learning Massive MIMO Modulation Neural networks Olla online training reinforcement learning Signal to noise ratio Throughput Training wireless communications
ISSN:	1089-7798, 1558-2558
Online-Zugang:	Volltext
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