Proactive Dynamic Network Slicing with Deep Learning Based Short-Term Traffic Prediction for 5G Transport Network
Date
2019-03-03
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Journal Title
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Volume Title
Publisher
IEEE
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Abstract
We propose a proactive dynamic network slicing scheme that utilizes a deep-learning based short-term traffic prediction approach for 5G transport networks. The demonstration shows utilization efficiency improvement from 46.33% to 71.53% under the evaluated scenario.
Description
Keywords
Engineering, Optics, Telecommunication, 5G mobile communication systems
item.page.sponsorship
National Science and Technology Major Project (No.2017ZX03001016), NSFC (No.61871051) and Beijing Natural Science Foundation (Grand No. 4182040)
Rights
©2019 OSA