DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bae, Jeongmin | ko |
dc.contributor.author | Lee, Joohyun | ko |
dc.contributor.author | Chong, Song | ko |
dc.date.accessioned | 2023-08-04T03:00:54Z | - |
dc.date.available | 2023-08-04T03:00:54Z | - |
dc.date.created | 2023-07-07 | - |
dc.date.created | 2023-07-07 | - |
dc.date.issued | 2019-06 | - |
dc.identifier.citation | 17th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2019 | - |
dc.identifier.uri | http://hdl.handle.net/10203/311156 | - |
dc.description.abstract | As network architecture becomes complex and the user requirement gets diverse, the role of efficient network resource management becomes more important. However, existing network scheduling algorithms such as the max-weight algorithm suffer from poor delay performance. In this paper, we present a reinforcement learning-based network scheduling algorithm that achieves both optimal throughput and low delay. To this end, we first formulate the network optimization problem as an MDP problem. Then we introduce a new state-action value function called W-function and develop a reinforcement learning algorithm called W-Learning that guarantees little performance loss during a learning process. Finally, via simulation, we verify that our algorithm shows delay reduction of up to 40.8% compared to the max-weight algorithm over various scenarios. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Beyond Max-weight Scheduling: A Reinforcement Learning-based Approach | - |
dc.type | Conference | - |
dc.identifier.wosid | 000643752100013 | - |
dc.identifier.scopusid | 2-s2.0-85080582054 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 17th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2019 | - |
dc.identifier.conferencecountry | FR | - |
dc.identifier.conferencelocation | Avignon | - |
dc.identifier.doi | 10.23919/WiOPT47501.2019.9144097 | - |
dc.contributor.localauthor | Chong, Song | - |
dc.contributor.nonIdAuthor | Lee, Joohyun | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.