DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Seokhyun | ko |
dc.contributor.author | Lee, Kimin | ko |
dc.contributor.author | Kim, Yeonkeun | ko |
dc.contributor.author | Shin, Jinwoo | ko |
dc.contributor.author | Shin, Seungwon | ko |
dc.contributor.author | Chong, Song | ko |
dc.date.accessioned | 2020-04-08T09:20:33Z | - |
dc.date.available | 2020-04-08T09:20:33Z | - |
dc.date.created | 2019-11-28 | - |
dc.date.created | 2019-11-28 | - |
dc.date.created | 2019-11-28 | - |
dc.date.issued | 2020-02 | - |
dc.identifier.citation | IEEE-ACM TRANSACTIONS ON NETWORKING, v.28, no.1, pp.84 - 97 | - |
dc.identifier.issn | 1063-6692 | - |
dc.identifier.uri | http://hdl.handle.net/10203/273842 | - |
dc.description.abstract | In 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.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Dynamic Control for On-demand Interference-managed WLAN Infrastructures | - |
dc.type | Article | - |
dc.identifier.wosid | 000519725800007 | - |
dc.identifier.scopusid | 2-s2.0-85079802702 | - |
dc.type.rims | ART | - |
dc.citation.volume | 28 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 84 | - |
dc.citation.endingpage | 97 | - |
dc.citation.publicationname | IEEE-ACM TRANSACTIONS ON NETWORKING | - |
dc.identifier.doi | 10.1109/TNET.2019.2953597 | - |
dc.contributor.localauthor | Lee, Kimin | - |
dc.contributor.localauthor | Shin, Jinwoo | - |
dc.contributor.localauthor | Shin, Seungwon | - |
dc.contributor.localauthor | Chong, Song | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Network management | - |
dc.subject.keywordAuthor | software-defined networking | - |
dc.subject.keywordPlus | WEIGHTED INDEPENDENT SET | - |
dc.subject.keywordPlus | WIRELESS | - |
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