Abstract
This paper proposes a joint dynamic video streaming and deep reinforcement learning (DRL) based offloading method in mobile edge computing systems. In order to utilize video services in mobile edge networks, efficient streaming and offloading algorithms are essentially required. In this paper, therefore, a novel dynamic offloading algorithm is proposed and the algorithm is fundamentally based on deep Q-network (DQN) which is one of widely used deep reinforcement learning algorithms.
| Original language | English |
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| Title of host publication | Proceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728112046 |
| DOIs | |
| Publication status | Published - 2019 Aug |
| Externally published | Yes |
| Event | 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019 - Singapore, Singapore Duration: 2019 Aug 28 → 2019 Aug 30 |
Publication series
| Name | Proceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019 |
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Conference
| Conference | 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019 |
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| Country/Territory | Singapore |
| City | Singapore |
| Period | 19/8/28 → 19/8/30 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications