• DocumentCode
    3378367
  • Title

    How to choose the ADC resolution for short range low power communication?

  • Author

    Mezghani, Amine ; Nossek, Josef A.

  • Author_Institution
    Inst. for Circuit Theor. & Signal Process., Munich Univ. of Technol., Munich, Germany
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    1025
  • Lastpage
    1028
  • Abstract
    We consider the maximization of the energy efficiency when communicating over a noisy single-input single-output channel, taking into account the transmit power as well as the power consumption of the analog-to-digital converter (ADC). This analysis is of interest in the context of energy constrained short range communication where low power, low cost and small size are key requirements (e.g. standard IEEE 802.15.4). In fact, the transmit power in such applications become smaller and reaches values in the order of the conversion or the processing power. Using an appropriate information-theoretic framework we show that the analog-to-digital converters (ADCs) for short range communication should be low-resolution, in order to reduce the overall power consumption. In addition we derive the optimal operating bit-resolution and signal-to-noise ratio (SNR) as function of the path-loss (i.e. the communication distance).
  • Keywords
    analogue-digital conversion; ADC resolution; analog-to-digital converter; energy constrained short range communication; energy efficiency maximization; information-theoretic framework; noisy single-input single-output channel; optimal operating bit-resolution and signal-to-noise ratio; path loss function; short range low power communication; Additive white noise; Bandwidth; Energy consumption; Energy efficiency; Energy resolution; Gaussian noise; Noise level; Quantization; Signal resolution; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537362
  • Filename
    5537362