Interference-aware coordinated power allocation in autonomous Wi-Fi environment Zhang, Yaodong, Jiang, Chunxiao, Han, Zhu, Yu, Shui and Yuan, Jian 2016, Interference-aware coordinated power allocation in autonomous Wi-Fi environment, IEEE Access: Green Communications and Networking for 5G Wireless, vol. 4, pp. 3489-3500, doi: 10.1109/ACCESS.2016.2585581. Attached Files Name Description MIMEType Size Downloads yu-interferenceaware-2016.pdf Published version application/pdf 10.89MB 0 Title Interference-aware coordinated power allocation in autonomous Wi-Fi environment Author(s) Zhang, Yaodong Jiang, Chunxiao Han, Zhu Yu, Shui Yuan, Jian Journal name IEEE Access: Green Communications and Networking for 5G Wireless Volume number 4 Start page 3489 End page 3500 Total pages 12 Publisher IEEE Place of publication Piscataway, N. J. Publication date 2016-01-01 ISSN 2169-3536 Keyword(s) Coordinated interaction Wi-Fi OpenWrt Nash bargaining Summary Self-managed access points (APs) with growing intelligence can optimize their own performances but pose potential negative impacts on others without energy ef ciency. In this paper, we focus on modeling the coordinated interaction among interest-independent and self-con gured APs, and conduct the power allocation case study in the autonomous Wi-Fi scenario. Speci cally, 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 de ned as AP talk protocol (ATP).With ATP, an active interference measurement methodology is proposed re ecting 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 of ce 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. Language eng DOI 10.1109/ACCESS.2016.2585581 Field of Research 080503 Networking and Communications Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30086173 Document type: Journal Article Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 19 Sep 2016, 09:02:30 EST Mon, 14 Nov 2016, 14:52:00 EST Tue, 15 Nov 2016, 04:00:18 EST Tue, 15 Nov 2016, 05:08:00 EST Wed, 16 Nov 2016, 13:41:40 EST Wed, 11 Jan 2017, 10:01:02 EST Mon, 03 Apr 2017, 12:03:26 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 57 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 14 Nov 2016, 14:52:00 EST

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