Spectrally efficient communication for wireless se

Authors: SeungJun Kim Richard E Cagley Ronald A Iltis

Publish Date: 2006/05/08

Volume: 13, Issue: 3, Pages: 397-407

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Abstract

The multiinput multioutput MIMO communication framework is adopted for wireless sensor networks by having multiple sensors equipped with singleelement antennas cooperate in transmission A power methodbased iterative algorithm is developed that computes the optimal transmit and receive eigenfilters 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 CSIonly spacetime coding This intuition is confirmed by employing a variablerate adaptive modulation scheme for the eigentransmission 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 eigencodingSeungJun Kim received BS and MS from Seoul National University in 1996 and 1998 respectively and PhD 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 spreadspectrum communications multiple antenna techniques and crosslayer designDr 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 spacetime processing spectrum management and digital receiver designRonald A Iltis received the BA Biophysics from The Johns Hopkins University in 1978 the MSc in Engineering from Brown University in 1980 and the PhD 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 spreadspectrum 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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