Optimizing power efficiency of OFDM using quantized channel state information

Antonio G. Marqués, Fadel F. Digham, Georgios B. Giannakis

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Emerging applications involving low-cost wireless sensor networks motivate well optimization of orthogonal frequency-division multiplexing (OFDM) in the power-limited regime. To this end, the present paper develops loading algorithms to minimize transmit-power under rate and error probability constraints, using three types of channel state information at the transmitter (CSIT): deterministic (per channel realization) for slow fading links, statistical (channel mean) for fast fading links, and quantized (Q), whereby a limited number of bits are fed back from the transmitter to the receiver. Along with optimal bit and power loading schemes, quantizer designs and reduced complexity alternatives with low feedback overhead are developed to obtain a suite of Q-CSIT-based OFDM transceivers with desirable complexity versus power-consumption tradeoffs. Numerical examples corroborate the analytical claims and reveal that significant power savings result even with a few bits of Q-CSIT.

Original languageEnglish (US)
Article number1665011
Pages (from-to)1581-1592
Number of pages12
JournalIEEE Journal on Selected Areas in Communications
Volume24
Issue number8
DOIs
StatePublished - Aug 1 2006

Keywords

  • Frequency-selective channels
  • Interpolation techniques
  • Low-power systems
  • Optimization methods
  • Orthogonal frequency-division multiplexing (OFDM)
  • Quantization techniques

Fingerprint Dive into the research topics of 'Optimizing power efficiency of OFDM using quantized channel state information'. Together they form a unique fingerprint.

Cite this