An Overview of Machine Learning-Based Techniques for Solving Optimization Problems in Communications and Signal Processing

Despite the growing interest in the interplay of machine learning and optimization, existing contributions remain scattered across the research board, and a comprehensive overview on such reciprocity still lacks at this stage. In this context, this paper visits one particular direction of interplay...

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Bibliographic Details
Published in:	IEEE access Vol. 9; pp. 74908 - 74938
Main Authors:	Dahrouj, Hayssam, Alghamdi, Rawan, Alwazani, Hibatallah, Bahanshal, Sarah, Ahmad, Alaa Alameer, Faisal, Alice, Shalabi, Rahaf, Alhadrami, Reem, Subasi, Abdulhamit, Al-Nory, Malak T., Kittaneh, Omar, Shamma, Jeff S.
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	aerial BS placement Algorithms Artificial neural networks Cellular communication Communication networks convolutional neural networks Data models deep learning echo-state networks federated learning learning-based techniques Machine learning Machine learning algorithms Optical communication Optimization Power control Radio equipment Reciprocity recurrent neural networks reinforcement learning Resource management Signal processing Terahertz frequencies Testing Training Underwater communication Vehicles Virtual networks Virtual reality Wireless communications wireless scheduling
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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