Deep Q-Network Learning Based Downlink Resource Allocation for Hybrid RF/VLC Systems

Developing high data rate systems to meet the requirements of fifth generation mobile systems has become crucial. Hybrid radio frequency/visible light communication (RF/VLC) has appeared as a promising mechanism for achieving this objective. In hybrid RF/VLC, data rate maximization is subject to con...

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Bibliographic Details
Published in:	IEEE access Vol. 8; p. 1
Main Authors:	Shrivastava, Shivanshu, Chen, Bin, Chen, Chen, Wang, Hui, Dai, Mingjun
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Access Points Achievable sum-rate Algorithms Bandwidth Bandwidths Data models Deep Q-Network (DQN) Learning Downlink Hybrid power systems Hybrid RF/VLC Hybrid systems Machine learning Maximization Mobile communication systems Multilayers Optical communication Optimization Optimization algorithms Power Radio frequency Radio Frequency (RF) Resource allocation Resource management User Association User Equipment Visible Light Communication (VLC)
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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