Interference-Aware Coordinated Power Allocation in Autonomous Wi-Fi Environment

Zhang, Y; Jiang, C; Han, Z; Yu, S; Yuan, J

Interference-Aware Coordinated Power Allocation in Autonomous Wi-Fi Environment

Zhang, Y Jiang, C Han, Z Yu, S

Yuan, J

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Access, 2016, 4, pp. 3489-3500
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Zhang, Y
dc.contributor.author	Jiang, C
dc.contributor.author	Han, Z
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.contributor.author	Yuan, J
dc.date.accessioned	2022-07-31T01:09:33Z
dc.date.available	2022-07-31T01:09:33Z
dc.date.issued	2016-01-01
dc.identifier.citation	IEEE Access, 2016, 4, pp. 3489-3500
dc.identifier.issn	2169-3536
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/10453/159407
dc.description.abstract	Self-managed access points (APs) with growing intelligence can optimize their own performances but pose potential negative impacts on others without energy efficiency. In this paper, we focus on modeling the coordinated interaction among interest-independent and self-configured APs, and conduct the power allocation case study in the autonomous Wi-Fi scenario. Specifically, we build a 'coordination Wi-Fi platform (CWP), a public platform for APs interacting with each other. OpenWrt-based APs in the physical world are mapped to virtual agents (VAs) in CWP, which communicate with each other through a standard request-reply process defined as AP talk protocol (ATP). With ATP, an active interference measurement methodology is proposed reflecting both in-range interference and hidden terminal interference, and the Nash bargaining-based power control is further formulated for interference reductions. CWP is deployed in a real office environment, where coordination interactions between VAs can bring a maximum 40-Mb/s throughput improvement with the Nash bargaining-based power control in the multi-AP experiments.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Access
dc.relation.isbasedon	10.1109/ACCESS.2016.2585581
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.title	Interference-Aware Coordinated Power Allocation in Autonomous Wi-Fi Environment
dc.type	Journal Article
utslib.citation.volume	4
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2022-07-31T01:09:27Z
pubs.publication-status	Published
pubs.volume	4

Abstract:

Self-managed access points (APs) with growing intelligence can optimize their own performances but pose potential negative impacts on others without energy efficiency. In this paper, we focus on modeling the coordinated interaction among interest-independent and self-configured APs, and conduct the power allocation case study in the autonomous Wi-Fi scenario. Specifically, we build a 'coordination Wi-Fi platform (CWP), a public platform for APs interacting with each other. OpenWrt-based APs in the physical world are mapped to virtual agents (VAs) in CWP, which communicate with each other through a standard request-reply process defined as AP talk protocol (ATP). With ATP, an active interference measurement methodology is proposed reflecting both in-range interference and hidden terminal interference, and the Nash bargaining-based power control is further formulated for interference reductions. CWP is deployed in a real office environment, where coordination interactions between VAs can bring a maximum 40-Mb/s throughput improvement with the Nash bargaining-based power control in the multi-AP experiments.

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http://hdl.handle.net/10453/159407