Energy-efficient MISO systems using adaptive modulation and coding

Antonio G. Marques; Xin Wang; Georgios B Giannakis

doi:10.1109/ACSSC.2006.355011

Energy-efficient MISO systems using adaptive modulation and coding

Antonio G. Marques, Xin Wang, Georgios B Giannakis

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

By viewing the coherent wireless sensor network (WSN) setup as a distributed space-time multi-input single-output (MISO) system, we minimize average transmit-power when sensors communicate with a fusion center (FC) using adaptive modulation and coding over a wireless fading channel. To this end, we derive optimal distributed beamforming and resource allocation strategies when the full (F-) channel state information at the transmitters (CSIT) is available, or, each sensor has F-CSIT of its own link with the FC but only quantized CSIT of other sensors through finite-rate feedback. Numerical results are presented to evaluate the power savings of the novel strategies.

Original language	English (US)
Title of host publication	Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages	1516-1520
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2006.355011
State	Published - Dec 1 2006
Event	40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States Duration: Oct 29 2006 → Nov 1 2006

Other

Other	40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
Country	United States
City	Pacific Grove, CA
Period	10/29/06 → 11/1/06

Access

10.1109/ACSSC.2006.355011

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Marques, AG, Wang, X & Giannakis, GB 2006, Energy-efficient MISO systems using adaptive modulation and coding. in Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06., 4176821, pp. 1516-1520, 40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06, Pacific Grove, CA, United States, 10/29/06. https://doi.org/10.1109/ACSSC.2006.355011

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abstract = "By viewing the coherent wireless sensor network (WSN) setup as a distributed space-time multi-input single-output (MISO) system, we minimize average transmit-power when sensors communicate with a fusion center (FC) using adaptive modulation and coding over a wireless fading channel. To this end, we derive optimal distributed beamforming and resource allocation strategies when the full (F-) channel state information at the transmitters (CSIT) is available, or, each sensor has F-CSIT of its own link with the FC but only quantized CSIT of other sensors through finite-rate feedback. Numerical results are presented to evaluate the power savings of the novel strategies.",

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N2 - By viewing the coherent wireless sensor network (WSN) setup as a distributed space-time multi-input single-output (MISO) system, we minimize average transmit-power when sensors communicate with a fusion center (FC) using adaptive modulation and coding over a wireless fading channel. To this end, we derive optimal distributed beamforming and resource allocation strategies when the full (F-) channel state information at the transmitters (CSIT) is available, or, each sensor has F-CSIT of its own link with the FC but only quantized CSIT of other sensors through finite-rate feedback. Numerical results are presented to evaluate the power savings of the novel strategies.

AB - By viewing the coherent wireless sensor network (WSN) setup as a distributed space-time multi-input single-output (MISO) system, we minimize average transmit-power when sensors communicate with a fusion center (FC) using adaptive modulation and coding over a wireless fading channel. To this end, we derive optimal distributed beamforming and resource allocation strategies when the full (F-) channel state information at the transmitters (CSIT) is available, or, each sensor has F-CSIT of its own link with the FC but only quantized CSIT of other sensors through finite-rate feedback. Numerical results are presented to evaluate the power savings of the novel strategies.

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