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Performance-based adaptive power optimization for digital optical interconnects.

Xiaoqing Wang1, Fouad Kiamilev, George C Papen

  • 1Department of Electrical and Computer Engineering, University of Delaware, Newark, Delaware 19716, USA. xiaoqing.j.wang@intel.com

Applied Optics
|October 22, 2005
PubMed
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This study introduces a novel power-negotiation algorithm to minimize power consumption in optical links. The technique optimizes power settings based on measured bit-error rate (BER) for efficient energy use.

Area of Science:

  • Optoelectronics
  • Integrated Circuit Design
  • Computer Engineering

Background:

  • Traditional optical links transmit at maximum power, leading to energy inefficiency.
  • Existing systems often dissipate more power than necessary due to worst-case loss estimations.

Purpose of the Study:

  • To develop and validate a technique for minimizing power consumption in optical links.
  • To introduce a power-negotiation algorithm that optimizes link power settings based on measured bit-error rate (BER).

Main Methods:

  • Fabrication of a 0.5 microm complementary metal-oxide semiconductor (CMOS) optical transceiver chip.
  • Construction of a free-space optical interconnect system for experimental validation.
  • Implementation of a novel power-negotiation algorithm to dynamically adjust link power.

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Main Results:

  • The developed algorithm successfully identified optimum power settings for Vertical-Cavity Surface-Emitting Lasers (VCSELs) to achieve a target BER.
  • The system demonstrated the ability to adapt to dynamic changes in optical loss.
  • Significant power savings were achieved by optimizing power dissipation.

Conclusions:

  • The power-negotiation algorithm effectively minimizes power consumption in optical links.
  • This adaptive technique enhances energy efficiency in optical communication systems.
  • The approach is robust to variations in system optical loss.