Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 4.99 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.