Stability of flow-level scheduling with Markovian time-varying channels
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jeongsim | - |
dc.contributor.author | Kim, Bara | - |
dc.contributor.author | Kim, Jerim | - |
dc.contributor.author | Bae, Yun Han | - |
dc.date.accessioned | 2021-09-06T04:58:05Z | - |
dc.date.available | 2021-09-06T04:58:05Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2013-02 | - |
dc.identifier.issn | 0166-5316 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/104154 | - |
dc.description.abstract | We consider the flow-level scheduling in wireless networks. The time is slotted and in each time slot the base station selects flows/users to serve. There are multi-class users and channel conditions vary over time. The channel state for each class user is assumed to be modeled as a finite state Markov chain. Using the fluid limit approach, we find the necessary and sufficient conditions for the stability of best rate (BR) scheduling policies. As a result, we show that any BR policy is maximally stable. Our result generalizes the result of Ayesta et al. (in press) [13] and solves the conjecture of jack (2011) [16]. We introduce a correlated channel state model and investigate the stability condition for BR policy in this model. (C) 2012 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.subject | WIRELESS DATA-NETWORKS | - |
dc.subject | PERFORMANCE | - |
dc.subject | FRAMEWORK | - |
dc.title | Stability of flow-level scheduling with Markovian time-varying channels | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Bara | - |
dc.identifier.doi | 10.1016/j.peva.2012.08.005 | - |
dc.identifier.scopusid | 2-s2.0-84880222504 | - |
dc.identifier.wosid | 000314619800005 | - |
dc.identifier.bibliographicCitation | PERFORMANCE EVALUATION, v.70, no.2, pp.148 - 159 | - |
dc.relation.isPartOf | PERFORMANCE EVALUATION | - |
dc.citation.title | PERFORMANCE EVALUATION | - |
dc.citation.volume | 70 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 148 | - |
dc.citation.endPage | 159 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordPlus | WIRELESS DATA-NETWORKS | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | FRAMEWORK | - |
dc.subject.keywordAuthor | Stability | - |
dc.subject.keywordAuthor | Best rate policy | - |
dc.subject.keywordAuthor | Fluid limits | - |
dc.subject.keywordAuthor | Flow-level scheduling | - |
dc.subject.keywordAuthor | Markovian channel | - |
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