Abstract

We introduce a flexible, software-defined real-time multi-modulation format receiver implemented on an off-the-shelf general-purpose graphics processing unit (GPU). The flexible receiver is able to process 2 GBaud 2-, 4-, 8-, and 16-ary pulse-amplitude modulation (PAM) signals as well as 1 GBaud 4-, 16- and 64-ary quadrature amplitude modulation (QAM) signals, with the latter detected using a Kramers-Kronig (KK) coherent receiver. Experimental performance evaluation is shown for back-to-back. In addition, by using the JGN high speed R&D network testbed, performance is evaluated after transmission over 91 km field-deployed optical fiber and reconfigurable optical add-drop multiplexers (ROADMs).

Highlights

  • W ITH the continual increase in demand for data-traffic at lower cost-per-bit, there is an increased interest in low-cost optical transceivers for data-center interconnects

  • Massive parallel processing capabilities of graphics processing unit (GPU) were exploited for processing single-polarization 5 Gbit/s differential quaternary phase-shift-keying (DQPSK) signals, correcting for intersymbol interference (ISI) using a finite impulse response (FIR) filter

  • Electrical driving signals for the in-phase and quadrature modulator (IQM) are provided by a 2-channel arbitrary-waveform generator (AWG) operating at 12Gs/s amplified by RF-amplifiers, whilst bias-tees and voltage sources control the bias of the modulator arms

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Summary

INTRODUCTION

W ITH the continual increase in demand for data-traffic at lower cost-per-bit, there is an increased interest in low-cost optical transceivers for data-center interconnects. Real-time DSP for optical differential quaternary phase-shift-keying (DQPSK) has been implemented on a GPU [16]–[18] In these papers, massive parallel processing capabilities of GPUs were exploited for processing single-polarization 5 Gbit/s DQPSK signals, correcting for intersymbol interference (ISI) using a finite impulse response (FIR) filter. Multi-modulation format software-defined GPU-based receiver and the first real-time demonstration of coherent KK detection. The fiber ring is part of the Japan Gigabit Network (JGN) high speed R&D network testbed [20] consisting of 3 commercial ROADMs in 2 separate Tokyo locations These results demonstrate the potential of software-defined receivers for low-cost optical links, exploiting the exponentially growing computing power of GPUs. This paper is an extension to the work presented at the European Conference on Optical Communications (ECOC) 2020 [21].

Comparison Between FPGA and GPU Processing
GPU Processing Terminology
Continuous Real-Time Processing Requirements
GPU Signal Processing Structure
IMDD GPU SIGNAL PROCESSING CHAIN
Step 3 and 4
Step 5-9
Experimental Setup for Back-to-Back Evaluation of PAM-N
Experimental Results
Step 1
Step 2-5
Step 6-8
Step 9
Back-to-Back Evaluation of N-QAM Signals
Experimental Setup
Transmission Results of PAM-N Signals
Continuous Real-Time Transmission
Findings
CONCLUSION
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