Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/17748
Title: | Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management |
Authors: | Comsa, IS Zhang, S Aydin, ME Kuonen, P Lu, Y Trestian, R Ghinea, G |
Keywords: | 5G;Packet Scheduling;Optimization;Radio Resource Management;Reinforcement Learning;Neural Networks |
Issue Date: | 6-Aug-2018 |
Publisher: | IEEE |
Citation: | IEEE Transactions on Network and Service Management, 2018, 15 (4), pp. 1661 - 1675 |
URI: | http://bura.brunel.ac.uk/handle/2438/17748 |
DOI: | http://dx.doi.org/10.1109/TNSM.2018.2863563 |
ISSN: | http://dx.doi.org/10.1109/TNSM.2018.2863563 1932-4537 |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | 4.99 MB | Adobe PDF | View/Open |
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