Multi objective resource scheduling in LTE networks using reinforcement learning

2.50
Hdl Handle:
http://hdl.handle.net/10547/250918
Title:
Multi objective resource scheduling in LTE networks using reinforcement learning
Authors:
Comşa, Ioan-Sorin; Aydin, Mehmet Emin ( 0000-0002-4890-5648 ) ; Zhang, Sijing; Kuonen, Pierre; Wagen, Jean–Frédéric
Abstract:
The use of the intelligent packet scheduling process is absolutely necessary in order to make the radio resources usage more efficient in recent high-bit-rate demanding radio access technologies such as Long Term Evolution (LTE). Packet scheduling procedure works with various dispatching rules with different behaviors. In the literature, the scheduling disciplines are applied for the entire transmission sessions and the scheduler performance strongly depends on the exploited discipline. The method proposed in this paper aims to discuss how a straightforward schedule can be provided within the transmission time interval (TTI) sub-frame using a mixture of dispatching disciplines per TTI instead of a single rule adopted across the whole transmission.
Citation:
Comşa, I.S., Aydin, M.E., Zhang, S., Kuonen, P., Wagen, J.F. (2012) 'Multi Objective Resource Scheduling in LTE Networks Using Reinforcement Learning' International Journal of Distributed Systems and Technologies 3 (2):39 - 57
Publisher:
IGI Global
Journal:
International Journal of Distributed Systems and Technologies
Issue Date:
2012
URI:
http://hdl.handle.net/10547/250918
DOI:
10.4018/jdst.2012040103
Additional Links:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdst.2012040103
Type:
Article
Language:
en
ISSN:
1947-3532; 1947-3540
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorComşa, Ioan-Sorinen_GB
dc.contributor.authorAydin, Mehmet Eminen_GB
dc.contributor.authorZhang, Sijingen_GB
dc.contributor.authorKuonen, Pierreen_GB
dc.contributor.authorWagen, Jean–Frédéricen_GB
dc.date.accessioned2012-11-05T10:46:13Zen
dc.date.available2012-11-05T10:46:13Zen
dc.date.issued2012en
dc.identifier.citationComşa, I.S., Aydin, M.E., Zhang, S., Kuonen, P., Wagen, J.F. (2012) 'Multi Objective Resource Scheduling in LTE Networks Using Reinforcement Learning' International Journal of Distributed Systems and Technologies 3 (2):39 - 57en_GB
dc.identifier.issn1947-3532en
dc.identifier.issn1947-3540en
dc.identifier.doi10.4018/jdst.2012040103en
dc.identifier.urihttp://hdl.handle.net/10547/250918en
dc.description.abstractThe use of the intelligent packet scheduling process is absolutely necessary in order to make the radio resources usage more efficient in recent high-bit-rate demanding radio access technologies such as Long Term Evolution (LTE). Packet scheduling procedure works with various dispatching rules with different behaviors. In the literature, the scheduling disciplines are applied for the entire transmission sessions and the scheduler performance strongly depends on the exploited discipline. The method proposed in this paper aims to discuss how a straightforward schedule can be provided within the transmission time interval (TTI) sub-frame using a mixture of dispatching disciplines per TTI instead of a single rule adopted across the whole transmission.en_GB
dc.language.isoenen
dc.publisherIGI Globalen_GB
dc.relation.urlhttp://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdst.2012040103en_GB
dc.titleMulti objective resource scheduling in LTE networks using reinforcement learningen
dc.typeArticleen
dc.identifier.journalInternational Journal of Distributed Systems and Technologiesen_GB
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