Low-power adaptive RF system design using real-time fuzzy noise-distortion control

  • Authors:

  • Debashis Banerjee;Shreyas Sen;Aritra Banerjee;Abhijit Chatterjee

  • Affiliations:

  • Georgia Institute of Technology, Atlanta, GA, USA;Intel Corp., Hillsboro, GA, USA;Georgia Institute of Technology, Atlanta, GA, USA;Georgia Institute of Technology, Atlanta, GA, USA

  • Venue:
  • Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
  • Year:
  • 2012

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Abstract

Earlier research has demonstrated that the power in a RF front-end can be traded off for performance in real-time to operate at the threshold of acceptable operation using a lookup table driven controller. Such a controller needs careful calibration and suffers from modeling inaccuracies which must be guardbanded during real-time operation resulting in "less than optimal" power consumption. In this work we propose a real time fuzzy noise-distortion control algorithm for low-power adaptation of the RF front-end to continuously changing channel conditions. As opposed to prior techniques, the proposed control algorithm handles adaptation to channel attenuation and fading as well as in-band and out- of- band interference, taking advantage of signal and interferer estimation techniques that are already incorporated in modern transceivers. In the proposed technique, the RF front-end controller automatically finds an optimal power-performance trade-off point in real-time across a large gamut of channel conditions. It is seen that about 23% savings in power consumption can be obtained over RF systems that are not capable of real-time adaptation.