Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning

Resource allocation and transceivers in wireless networks are usually designed by solving optimization problems subject to specific constraints, which can be formulated as variable or functional optimization. If the objective and constraint functions of a variable optimization problem can be derived...

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Vydáno v:	IEEE network Ročník 34; číslo 4; s. 270 - 277
Hlavní autoři:	Liu, Dong, Sun, Chengjian, Yang, Chenyang, Hanzo, Lajos
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.07.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Artificial neural networks Computational modeling Computer simulation Computing costs Deep learning Functionals Mathematical model Mathematical models Optimization Resource allocation Resource management Transceivers Unsupervised learning Wireless networks
ISSN:	0890-8044, 1558-156X
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