Dynamic Control for On-demand Interference-managed WLAN Infrastructures

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dc.contributor.authorKim, Seokhyunko
dc.contributor.authorLee, Kiminko
dc.contributor.authorKim, Yeonkeunko
dc.contributor.authorShin, Jinwooko
dc.contributor.authorShin, Seungwonko
dc.contributor.authorChong, Songko
dc.date.accessioned2020-04-08T09:20:33Z-
dc.date.available2020-04-08T09:20:33Z-
dc.date.created2019-11-28-
dc.date.issued2020-02-
dc.identifier.citationIEEE-ACM TRANSACTIONS ON NETWORKING, v.28, no.1, pp.84 - 97-
dc.identifier.issn1063-6692-
dc.identifier.urihttp://hdl.handle.net/10203/273842-
dc.description.abstractIn order to handle a high traffic demand, dense wireless local area networks (WLANs) have been deployed rapidly in the past years. However, dense WLANs cause two critical issues: wastage of energy and severe interference. To address these issues, the centralized management of dense WLANs has been emerged as a powerful paradigm for improving energy efficiency as well as avoiding severe interference. In this paper, we study the joint optimization problem of power-operation modes in access points (APs), channel selections and user-AP associations for improving energy efficiency and avoiding interference without sacrificing users' demands. To this end, we first formulate it as a mixed-integer programming using the popular Lyapunov approach, but it turns out to be computationally intractable, i.e., NP-hard. To address the issue, we propose a polynomial-time approximation algorithm and prove that it achieves a constant-factor approximation guarantee under mild assumptions. The main novelty underlying our algorithm design is based on a linear programming relaxation combining with two different greedy rounding schemes, where each achieves a constant-factor approximation in different regimes of parameters. We verify the performance of the proposed algorithm via extensive simulations and also demonstrate its practicability by implementing it at commercial APs using a Software-defined Networking framework. Results from our experiments show that it reduces the wasted energy significantly while maintaining even higher throughput.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleDynamic Control for On-demand Interference-managed WLAN Infrastructures-
dc.typeArticle-
dc.identifier.wosid000519725800007-
dc.identifier.scopusid2-s2.0-85079802702-
dc.type.rimsART-
dc.citation.volume28-
dc.citation.issue1-
dc.citation.beginningpage84-
dc.citation.endingpage97-
dc.citation.publicationnameIEEE-ACM TRANSACTIONS ON NETWORKING-
dc.identifier.doi10.1109/TNET.2019.2953597-
dc.contributor.localauthorShin, Jinwoo-
dc.contributor.localauthorShin, Seungwon-
dc.contributor.localauthorChong, Song-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorNetwork management-
dc.subject.keywordAuthorsoftware-defined networking-
dc.subject.keywordPlusWEIGHTED INDEPENDENT SET-
dc.subject.keywordPlusWIRELESS-
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