High-Throughput Power-Efficient DSP for Fiber-Optic Communication Systems
Licentiate thesis, 2018

Communication networks are a vital backbone of the modern society. Power dissipation of optical communication links and digital signal processing (DSP) subsystems for these links are a major concern as throughput requirements increase, and the number of deployed systems grows. We are approaching fundamental integrated-circuit scaling limits quickly, and it is thus no longer possible to assume that feature-size scaling will enable implementation of ever more complex algorithms. Therefore, approaching DSP from an implementation perspective, and designing low-power high-performance algorithms will become increasingly more important. This thesis considers power- and energy-efficiency improvements in real-time implementation of DSP algorithms. High-throughput parallel implementations of algorithms are presented and improvements in currently-employed major power-dissipating DSP subsystems (chromatic dispersion compensation and dynamic equalization) are considered. Implementation-aware design of advanced algorithms for long-haul transmission systems is considered. This thesis also considers possible power-reduction in short-haul systems through introduction of forward error correction.

Non-linear Impairment Mitigation

Application Specific Integrated Circuits

Forward Error Correction

Fiber Optic Communication

Digital Signal Processing

Communication Systems

EDIT, room EA
Opponent: Dr. David Millar, Mitsubishi Electric Research Laboratories, Cambridge, Massachusetts, USA.


Christoffer Fougstedt

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

Dynamic Equalizer Power Dissipation Optimization

2016 Optical Fiber Communications Conference and Exhibition,; (2016)

Paper in proceedings

Time-Domain Digital Back Propagation: Algorithm and Finite-Precision Implementation Aspects

Optical Fiber Communications Conference and Exhibition,; (2017)p. Article no 7937325-

Paper in proceedings

Low-Power Low-Latency BCH Decoders for Energy-Efficient Optical Interconnects

Journal of Lightwave Technology,; Vol. 35(2017)p. 5201-5207

Journal article

Finite-Precision Optimization of Time-Domain Digital Back Propagation by Inter-Symbol Interference Minimization

Proceedings of 43rd European Conference and Exhibition on Optical Communications (ECOC),; Vol. 2017-September(2017)p. 1-3

Paper in proceedings

Filter Implementation for Power-Efficient Chromatic Dispersion Compensation

Subject Categories

Computer Engineering

Communication Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering

Areas of Advance

Information and Communication Technology


Chalmers University of Technology

EDIT, room EA

Opponent: Dr. David Millar, Mitsubishi Electric Research Laboratories, Cambridge, Massachusetts, USA.

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