Energy-Efficient Digital Signal Processing for Fiber-Optic Communication Systems
Doctoral thesis, 2019
Modern fiber-optic communication systems rely on complex digital signal processing (DSP) and forward error correction (FEC), which contribute to a significant amount of the over-all link power dissipation. Bandwidth demands are evergrowing and circuit technology scaling will due to fundamental reasons come to an end; energy-efficient design of DSP is thus necessary both from a sustainability perspective and a technical perspective. This thesis explores energy-efficient design of the sub-systems that are estimated to contribute to the majority of the receiver application-specific integrated-circuit power dissipation: chromatic-dispersion compensation, dynamic equalization, nonlinearity mitigation, and forward error correction. With a focus on real-time-processing circuit implementation of the considered algorithms, aspects such as finite-precision effects, pipelining, and parallel processing are explored, the impact on compensation and correction performance is investigated, and energy-efficient circuit implementations are developed. The sub-systems are investigated both individually, and in a system context. DSP designs showing significant energy-efficiency improvements are presented, as well as very high-throughput, energy-efficient, FEC designs. The subsystems are also considered in the context of datacenter interconnect links, and it is shown that DSP-based coherent systems are feasible even in power constrained settings.
Digital Signal Processing
Forward Error Correction
Fiber Optic Communication
Application Specific Integrated Circuits
Communication Systems
Non-linear Impairment Mitigation
EB, EDIT-building, Rännvägen 6
Opponent: Dr. David Hillerkuss, Senior Scientist, Optical and Quantum Laboratory, Huawei, Munich, Germany.
Author
Christoffer Fougstedt
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Filter Implementation for Power-Efficient Chromatic Dispersion Compensation
IEEE Photonics Journal,;Vol. 10(2018)
Journal article
Dynamic Equalizer Power Dissipation Optimization
2016 Optical Fiber Communications Conference and Exhibition,;(2016)
Paper in proceeding
Time-Domain Digital Back Propagation: Algorithm and Finite-Precision Implementation Aspects
Optical Fiber Communications Conference and Exhibition,;(2017)p. Article no 7937325-
Paper in proceeding
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 proceeding
ASIC Implementation of Time-Domain Digital Back Propagation for Coherent Receivers
IEEE Photonics Technology Letters,;Vol. 30(2018)p. 1179-1182
Journal article
ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters
2018 European Conference on Optical Communication (ECOC),;Vol. 2018-September(2018)
Paper in proceeding
Low-Power Low-Latency BCH Decoders for Energy-Efficient Optical Interconnects
Journal of Lightwave Technology,;Vol. 35(2017)p. 5201-5207
Journal article
Energy-Efficient High-Throughput VLSI Architectures for Product-Like Codes
Journal of Lightwave Technology,;Vol. 37(2019)p. 477-485
Journal article
Energy-Efficient Soft-Assisted Product Decoders
2019 Optical Fiber Communications Conference and Exhibition (OFC),;(2019)
Paper in proceeding
Christoffer Fougstedt, Oscar Gustafsson, Cheolyong Bae, Erik Börjeson, Per Larsson-Edefors. DSP and FEC Power Dissipation in 400G Coherent Data Center Interconnects
Fiber-optic communication is a keystone of our global communication networks, and is vital to support the modern digital society. In these systems, we use lasers to transmit our data, and we detect the changes in the light at the opposite end of the fiber. This allows us to transmit and receive data very fast and efficiently. However, as the data travels through the transmitter, the fiber, and the receiver, it gets smeared out and misshaped, and noise is added. Due to this, it is hard to figure out what was originally transmitted, and we need to use electronic circuits that attempt to fix the signal.
Since we want to send our information very fast, we also need to be able to correct these issues in the received signal incredibly fast. The electronic circuits apply math to try to twist the data back into its original shape, as well as try to use some added data to figure out where noise may have caused mistakes. However, the math is difficult to process and the circuit can require quite a bit of electrical power. This is an issue, as there are many of these links and the systems are rather densely packed. Power and energy efficiency is thus a very important concern in order to allow for transmission of more data in a sustainable manner.
In this thesis, we investigate ways to design fast and efficient electronic circuits that are good at correcting the errors and distortion of the signal that is transmitted, while still using a low amount of energy in the processing.
Since we want to send our information very fast, we also need to be able to correct these issues in the received signal incredibly fast. The electronic circuits apply math to try to twist the data back into its original shape, as well as try to use some added data to figure out where noise may have caused mistakes. However, the math is difficult to process and the circuit can require quite a bit of electrical power. This is an issue, as there are many of these links and the systems are rather densely packed. Power and energy efficiency is thus a very important concern in order to allow for transmission of more data in a sustainable manner.
In this thesis, we investigate ways to design fast and efficient electronic circuits that are good at correcting the errors and distortion of the signal that is transmitted, while still using a low amount of energy in the processing.
Energy-efficient optical fibre communication
Knut and Alice Wallenberg Foundation (KAW2013.0021), 2014-07-01 -- 2019-06-30.
Subject Categories
Computer Engineering
Communication Systems
Other Electrical Engineering, Electronic Engineering, Information Engineering
Areas of Advance
Information and Communication Technology
ISBN
978-91-7905-165-5
Technical report D - School of Computer Science and Engineering, Chalmers University of Technology: 175D
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4632
Publisher
Chalmers
EB, EDIT-building, Rännvägen 6
Opponent: Dr. David Hillerkuss, Senior Scientist, Optical and Quantum Laboratory, Huawei, Munich, Germany.