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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Bibliographic Details

Published in:	IEEE network Vol. 34; no. 4; pp. 270 - 277
Main Authors:	Liu, Dong, Sun, Chengjian, Yang, Chenyang, Hanzo, Lajos
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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