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

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

Research output: Contribution to journalArticle

31 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 languageEnglish (US)
Pages (from-to)4446-4457
Number of pages12
JournalIEEE Transactions on Signal Processing
Volume56
Issue number9
DOIs
StatePublished - Dec 1 2008

Keywords

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

Fingerprint Dive into the research topics of 'Minimizing transmit power for coherent communications in wireless sensor networks with finite-rate feedback'. Together they form a unique fingerprint.

  • Cite this