Minimizing transmit-power for coherent communications in wireless sensor networks using quantized channel state information

Antonio G. Marques, Xin Wang, Georgios B Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We consider minimizing average transmit-power with finite-rate feedback for coherent communications in a wireless sensor network (WSN), where sensors communicate with a fusion center (FC) using adaptive modulation and coding over a wireless fading channel. By viewing the coherent WSN setup as a distributed space-time multi-input single-output (MISO) system, we develop beamforming and resource allocation strategies and design optimal quantizers when the sensors only have available quantized (Q-) channel state information at the transmitters (CSIT) through a finite-rate feedback channel. Numerical results reveal that our novel design based on Q-CSIT yields significant power savings even for a small number of feedback bits.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
DOIs
StatePublished - Aug 6 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/TerritoryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Keywords

  • MISO systems
  • Minimum energy control
  • Multi-sensor systems
  • Optimization methods
  • Quantization

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