NDLI: SVD-QR-T FCM Approach for Virtual MIMO Channel Selection in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Jing Liang Qilian Liang
Copyright Year	2007
Description	Author affiliation: Univ. of Texas at Arlington, Arlington (Jing Liang; Qilian Liang)
Abstract	In this paper, we present singular-value decomposition- QR with threshold (SVD-QR-T) algorithm to select a subset of channels in virtual MIMO wireless sensor networks (WSN) in order to reduce its complexity and cost. SVD- QR-T selects best subset of transmitters while keeping all receivers active. The threshold is adaptive by means of fuzzy c-mean (FCM). Under the constraint of the same total transmission power, this approach is compared against the case without channel selection in terms of capacity, bit error rate (BER) and multiplexing gain in the presence of water-filling as well without. It is shown that in spite of less multiplexing gain, when water-filling is applied, SVD- QR-T FCM provides lower BER at moderate to high SNR; in case of equal transmission power allocation, SVD-QR-T FCM achieves higher capacity at low SNR and lower BER. In general, it provides satisfying performances compared to the case without channel selection but reduced cost and resource.
Starting Page	63
Ending Page	70
File Size	371430
Page Count	8
File Format	PDF
ISBN	9780769529813
DOI	10.1109/WASA.2007.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Wireless sensor networks Costs Error analysis Radio transmitters Bit error rate Transmitting antennas Receiving antennas MIMO Mathematical model
Content Type	Text
Resource Type	Article

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