Filter Implementation for Power-Efficient Chromatic Dispersion Compensation
Journal article, 2018

Chromatic dispersion (CD) compensation in coherent fiber-optic systems represents a very significant DSP block in terms of power dissipation. Since spectrally efficient coherent systems are expected to find a wider deployment in systems shorter than long haul, it becomes relevant to investigate filter implementation aspects of CD compensation in the context of systems with low-to-moderate amounts of accumulated dispersion. The investigation we perform in this paper has an emphasis on implementation aspects such as power dissipation and area usage, it deals with both time-domain and frequency-domain CD compensations, and it considers both A/D-conversion quantization and fixed-point filter design aspects. To enable an accurate analysis on power dissipation and chip area, the evaluated filters are implemented in a 28-nm fully depleted silicon-on-insulator (FD-SOI) process technology. We show that an optimization of the filter response that takes pulse shaping into account can significantly reduce power dissipation and area usage of time-domain implementations, making them a viable alternative to frequency-domain implementations.

chromatic dispersion

digital signal processing

application specific integrated circuits

Optical fiber communication


Christoffer Fougstedt

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Alireza Sheikh

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Pontus Johannisson

RISE Research Institutes of Sweden

Per Larsson-Edefors

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

IEEE Photonics Journal

19430655 (eISSN)

Vol. 10 4 7202919

Energy-efficient optical fibre communication

Knut and Alice Wallenberg Foundation (KAW2013.0021), 2014-07-01 -- 2019-06-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Atom and Molecular Physics and Optics

Communication Systems

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering



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