NDLI: Minimum neighbour with extended Kalman filter estimator (MINEK): Performance evaluation

Content Provider	IEEE Xplore Digital Library
Author	Drieberg, M. Fu-Chun Zheng Ahmad, R.
Copyright Year	2011
Description	Author affiliation: College of Engineering, Qatar University, Qatar (Ahmad, R.) \|\| Electrical and Electronics Engineering Department, Universiti Teknologi PETRONAS, Malaysia (Drieberg, M.) \|\| National Mobile Communications Research Laboratory, Southeast University, China (Fu-Chun Zheng)
Abstract	The recent emergence of high density wireless local area network (WLAN) deployments is a testament to both the insatiable demands for wireless broadband services and the ubiquity of WLAN technology. However, the increased capacity and extended coverage comes with a corresponding increase in contention and interference. These can cause a significant degradation in throughput unless an effective channel assignment scheme is employed. In an earlier work, we proposed a practical distributed channel assignment scheme for high density WLANs. The proposed minimum neighbour with extended Kalman filter estimator (MINEK) scheme maximizes throughput by selecting the channel with the minimum number of active neighbour nodes (nodes associated with interfering access points). The latter is estimated in-situ using an extended Kalman filter. In this paper, we present extensive performance evaluation of the MINEK scheme. Specifically, the scheme's performance is evaluated in terms of upper-bound performance, normalized density, non-saturated load, unequal load, fairness and scalability. Extensive packet-level simulations using OPNET have shown that the MINEK scheme not only provides significant throughput improvement when compared to other existing schemes but is also highly robust across various deployment scenarios.
Starting Page	465
Ending Page	472
File Size	261672
Page Count	8
File Format	PDF
ISBN	9781457701009
e-ISBN	9781457701016
DOI	10.1109/ChinaCom.2011.6158199
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	resource management Wireless LAN Upper bound Channel estimation Interference Throughput Kalman filters Mathematical model
Content Type	Text
Resource Type	Article

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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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