NDLI: Throughput optimization of wireless LANs by surrogate model based cognitive decision making

Content Provider	IEEE Xplore Digital Library
Author	Pakparvar, M. Chemmangat, K. Deschrijver, D. Mehari, M. Plets, D. Dhaene, T. Hoebeke, J. Moerman, I. Martens, L. Joseph, W.
Copyright Year	2015
Description	Author affiliation: Sch. of Eng., Amrita Vishwa Vidyapeetham, Bangalore, India (Chemmangat, K.) \|\| iMinds, Ghent Univ., Ghent, Belgium (Pakparvar, M.; Deschrijver, D.; Mehari, M.; Plets, D.; Dhaene, T.; Hoebeke, J.; Moerman, I.; Martens, L.; Joseph, W.)
Abstract	Large scale growth of wireless networks and the scarcity of the electromagnetic spectrum are imposing more interference to the wireless terminals which jeopardize the Quality of Service offered to the end users. In order to address this kind of performance degradation, this paper proposes a novel experimentally verified cognitive decision engine which aims at optimizing the throughput of IEEE 802.11 links in presence of homogeneous IEEE 802.11 interference. The decision engine is based on a surrogate model that takes the current state of the wireless network as input and makes a prediction of the throughput. The prediction enables the decision engine to find the optimal configuration of the controllable parameters of the network. The decision engine was applied in a realistic interference scenario where utilization of the cognitive decision engine outperformed the case where the decision engine was not deployed by a worst case improvement of more than 100%.
Starting Page	188
Ending Page	193
File Size	821825
Page Count	6
File Format	PDF
ISBN	9781479987603
DOI	10.1109/WCNCW.2015.7122552
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conferences Quality of service Interference Predictive models Throughput Data models Engines
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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