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Spectrally efficient communication for wireless sensor networks using a cooperative MIMO technique

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Abstract

The multi-input multi-output (MIMO) communication framework is adopted for wireless sensor networks by having multiple sensors equipped with single-element antennas cooperate in transmission. A power method-based iterative algorithm is developed that computes the optimal transmit and receive eigen-filters distributively among the sensors while transferring most of the computational burden to the central collector node. Since the proposed algorithm implicitly exploits the channel state information (CSI) both at the receiver and the transmitter, it is expected that the resulting spectral efficiency is higher than what can be achieved by receive CSI-only space-time coding. This intuition is confirmed by employing a variable-rate adaptive modulation scheme for the eigen-transmission and comparing its spectral efficiency with that of orthogonal space time block codes (OSTBCs) at specific target bit error rates. The performance is also evaluated using realistic channel estimation as well as the least mean square (LMS) and recursive least square (RLS) algorithms for iterative eigencoding.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of California, Santa Barbara

    Seung-Jun Kim & Ronald A. Iltis

  2. Toyon Research Corporation, Goleta, CA

    Richard E. Cagley

Authors
  1. Seung-Jun Kim
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  2. Richard E. Cagley
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  3. Ronald A. Iltis
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Corresponding author

Correspondence to Seung-Jun Kim.

Additional information

This material is based upon work supported by the Air Force Office of Scientific Research under Award No. FA9550-04-C-0074 and Toyon Research Corporation Subcontract No. SC6431-1.

Seung-Jun Kim received B.S. and M.S. from Seoul National University in 1996 and 1998, respectively, and Ph.D. from University of California, Santa Barbara in 2005, all in electrical engineering. From 1998 to 2000, he served as a Korea Overseas Volunteer at Chiang Rai Teachers College in Chiang Rai, Thailand. Since 2005, he has been with NEC Laboratories America in Princeton, NJ. His research interests lie in detection/estimation theory, spread-spectrum communications, multiple antenna techniques and cross-layer design.

Richard E. Cagley received the B.S. degree in engineering from Harvey Mudd College, Claremont, CA in 1997 and the M.S. and Ph.D. degrees in electrical engineering from the University of California, Santa Barbara in 1999 and 2003 respectively.

Dr. Cagley currently holds a position with Toyon Research Corporation, Goleta, CA. Prior to joining Toyon, he held positions with Fujant Incorporated, Jet Propulsion Laboratories, and Qualcomm Corporation. His general research interests are in the areas of physical and MAC layer design for wireless communication. This includes multiuser detection, interference cancellation, space-time processing, spectrum management, and digital receiver design.

Ronald A. Iltis received the B.A. (Biophysics) from The Johns Hopkins University in 1978, the M.Sc in Engineering from Brown University in 1980, and the Ph.D. in Electrical Engineering from the University of California, San Diego in 1984. Since 1984, he has been with the University of California, Santa Barbara, where he is currently a Professor in the Department of Electrical and Computer Engineering. His current research interests are in CDMA, software radio, radiolocation, and nonlinear estimation. He has also served as a consultant to government and private industry in the areas of adaptive arrays, neural networks and spread-spectrum communications. Dr. Iltis was previously an Editor for the IEEE Transactions on Communications. In 1990 he received the Fred W. Ellersick award for best paper at the IEEE MILCOM conference.

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Kim, SJ., Cagley, R.E. & Iltis, R.A. Spectrally efficient communication for wireless sensor networks using a cooperative MIMO technique. Wireless Netw 13, 397–407 (2007). https://doi.org/10.1007/s11276-006-5673-8

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  • DOI: https://doi.org/10.1007/s11276-006-5673-8

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