Abstract

We propose a hitless flexible coherent transceiver enabled by a novel modulation format identification (MFI) scheme for dynamic agile optical networks. The modulation format transparent digital signal processing (DSP) is realized by a block-wise decision-directed least-mean-square (DD-LMS) equalizer for channel tracking, and a pilot symbol aided superscalar phase locked loop (PLL) for carrier phase estimation (CPE). For the MFI, the modulation format information is encoded onto the pilot symbols initially used for CPE. Therefore, the proposed MFI method does not require extra overhead. Moreover, it can identify arbitrary modulation formats including multi-dimensional formats, and it enables tracking of the format change for short data blocks. The performance of the proposed hitless flexible coherent transceiver is successfully evaluated with five modulation formats including QPSK, 16QAM, 64QAM, Hybrid QPSK/8QAM and set-partitioning (SP)-512-QAM. We show that the proposed MFI method induces a negligible performance penalty. Moreover, we experimentally demonstrate that such a hitless transceiver can adapt to fast block-by-block modulation format switching. Finally, the performance improvement of the proposed MFI method is experimentally verified with respect to other commonly used MFI methods.

Highlights

  • Global IP traffic is predicted to increase by about threefold over the 5 years due to the emergence of bandwidth-consuming services [1]

  • The results show that the proposed modulation format identification (MFI) covers a wider range of modulation formats and is more reliable especially at low optical-to-signal noise ratio (OSNR)

  • In this paper, we propose a hitless coherent transceiver enabled by a novel MFI scheme for agile optical networks

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Summary

Introduction

Global IP traffic is predicted to increase by about threefold over the 5 years due to the emergence of bandwidth-consuming services [1]. As network traffic becomes more dynamic and unpredictable in future networks, hitless line rate changes implemented by switching modulation formats are expected to bring more benefits in improving capacity and saving power consumption [4]. In this scenario, modulation format identification (MFI) is essential for reconfiguring digital signal processing (DSP) for signal recovery and demapping at the receiver-side (Rx). MFI can be achieved in the Stokes space by identifying either the number of clusters or the higher order statistics [7,8,9,10] It can be implemented based on the power distributions of the received signals [11,12,13].

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