NDLI: Joint rate and cluster optimization in cooperative MIMO sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Pillutla, L.S. Krishnamurthy, V.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada (Pillutla, L.S.; Krishnamurthy, V.)
Abstract	We design transmission schemes in cooperative MIMO sensor networks that optimize the choice of rate and cluster for minimizing the energy consumption subject to a given average probability of error. In general it was observed that, the number of clusters to optimize the energy consumption is a non-increasing function of long haul distance. By virtue of this, we conclude that as the long haul distance increases the cooperation among the nodes increases. Also, for large long haul distances the optimal number of clusters is shown to converge to a constant. Next, we propose a provably convergent block coordinate descent algorithm to determine the optimal joint rate and number of clusters. Through our numerical results it was observed that a cluster optimized cooperative MIMO transmission scheme can be more energy efficient than a rate only optimized scheme. Also a joint rate and cluster optimized transmission scheme can yield large scale energy savings for short and medium range applications compared to the rate only or cluster only optimized transmission schemes.
Starting Page	265
Ending Page	269
File Size	836013
Page Count	5
File Format	PDF
ISBN	0780388674
DOI	10.1109/SPAWC.2005.1505913
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks MIMO Energy consumption Energy efficiency Large-scale systems Circuits Base stations Electronic mail Design optimization Computer errors
Content Type	Text
Resource Type	Article

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