Minimizing transmit power for coherent communications in wireless sensor networks with finite-rate feedback

Antonio G. Marques; Xin Wang; Giannakis B. Giannakis

doi:10.1109/TSP.2008.921725

Minimizing transmit power for coherent communications in wireless sensor networks with finite-rate feedback

Antonio G. Marques, Xin Wang, Giannakis B. Giannakis

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

We minimize average transmit power with finite-rate feedback for coherent communications in a wireless sensor network (WSN), where sensors communicate with a fusion center using adaptive modulation and coding over a wireless fading channel. By viewing the coherent WSN setup as a distributed space-time multiple-input single-output (MISO) system, we present optimal distributed beamforming and resource allocation strategies when the full (F-) channel state information at the transmitters (CSIT) is available through a feedback channel. We also develop optimal adaptive transmission policies and design optimal quantizers for the finite-rate feedback case where the sensors only have quantized (Q-) CSIT, or, each sensor has F-CSIT of its own link with the FC but only Q-CSIT of other sensors. Numerical results confirm that our novel finite-rate feedback-based strategies achieve near-optimal power savings based on even a small number of feedback bits.

Original language	English (US)
Pages (from-to)	4446-4457
Number of pages	12
Journal	IEEE Transactions on Signal Processing
Volume	56
Issue number	9
DOIs	https://doi.org/10.1109/TSP.2008.921725
State	Published - 2008

Bibliographical note

Funding Information:
Manuscript received October 5, 2006; revised December 23, 2007. Published August 13, 2008. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Soren Holdt Jensen. Work in this paper was supported by the ARO Grant W911NF-05-1-0283 and was prepared through collaborative participation in the Communications and Networks Consortium sponsored by the U.S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. The work of A. G. Marques in this paper was partially supported by the C.A. Madrid Government Grant P-TIC-000223-0505. Parts of this paper were presented at the Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 2006, and the IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, HI, April 2007.

Keywords

Multiple-input single-output (MISO) systems
Nonlinear optimization
Power efficiency
Quantization
Resource allocation
Wireless sensor networks (WSNs)

Publisher link

10.1109/TSP.2008.921725

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abstract = "We minimize average transmit power with finite-rate feedback for coherent communications in a wireless sensor network (WSN), where sensors communicate with a fusion center using adaptive modulation and coding over a wireless fading channel. By viewing the coherent WSN setup as a distributed space-time multiple-input single-output (MISO) system, we present optimal distributed beamforming and resource allocation strategies when the full (F-) channel state information at the transmitters (CSIT) is available through a feedback channel. We also develop optimal adaptive transmission policies and design optimal quantizers for the finite-rate feedback case where the sensors only have quantized (Q-) CSIT, or, each sensor has F-CSIT of its own link with the FC but only Q-CSIT of other sensors. Numerical results confirm that our novel finite-rate feedback-based strategies achieve near-optimal power savings based on even a small number of feedback bits.",

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N2 - We minimize average transmit power with finite-rate feedback for coherent communications in a wireless sensor network (WSN), where sensors communicate with a fusion center using adaptive modulation and coding over a wireless fading channel. By viewing the coherent WSN setup as a distributed space-time multiple-input single-output (MISO) system, we present optimal distributed beamforming and resource allocation strategies when the full (F-) channel state information at the transmitters (CSIT) is available through a feedback channel. We also develop optimal adaptive transmission policies and design optimal quantizers for the finite-rate feedback case where the sensors only have quantized (Q-) CSIT, or, each sensor has F-CSIT of its own link with the FC but only Q-CSIT of other sensors. Numerical results confirm that our novel finite-rate feedback-based strategies achieve near-optimal power savings based on even a small number of feedback bits.

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Minimizing transmit power for coherent communications in wireless sensor networks with finite-rate feedback

Abstract

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Keywords

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