Digital Signal Processing for Front-end Non-idealities in Coherent Optical OFDM system

Ph.DDOCTOR OF PHILOSOPH

Advanced DSP Techniques for High-Capacity and Energy-Efficient Optical Fiber Communications

The rapid proliferation of the Internet has been driving communication networks closer and closer to their limits, while available bandwidth is disappearing due to an ever-increasing network load. Over the past decade, optical fiber communication technology has increased per fiber data rate from 10 Tb/s to exceeding 10 Pb/s. The major explosion came after the maturity of coherent detection and advanced digital signal processing (DSP). DSP has played a critical role in accommodating channel impairments mitigation, enabling advanced modulation formats for spectral efficiency transmission and realizing flexible bandwidth. This book aims to explore novel, advanced DSP techniques to enable multi-Tb/s/channel optical transmission to address pressing bandwidth and power-efficiency demands. It provides state-of-the-art advances and future perspectives of DSP as well

Coherent Phase-Modulated Optical Fiber Communications with Linear and Nonlinear Phase Noise

Ph.DDOCTOR OF PHILOSOPH

Advanced digital signal processing for next-generation flexible optical networks

To keep pace with the rapid expansion in data-exchange traffic around the world, optical networks are anticipated to provide flexibility to maximize utilization of the deployed optical fiber resources. On the other hand, digital signal processing (DSP) has been employed in coherent optical systems to enable 100G and beyond optical fiber networks. The goal of the thesis is to develop advanced DSP techniques for the flexible optical networks. With the reconfigured modulation formats in the systems, modulation classification (MC) is essential in the DSP to facilitate the sequential compensation modules which are modulation format-dependent. Based on the cumulative distribution function (CDF) of received signal's amplitude, an MC algorithm for M-ary quadrature amplitude modulation (M-QAM) formats with M = 4, 8, 16, 32, and 64 is proposed. Results show that the proposed algorithm achieves accurate classification at optical signal-to-noise ratio (OSNR) of interest and is robust to frequency offset and laser phase noise. Relying on the CDF of received signal's amplitude, a non-data-aided (NDA) OSNR estimation algorithm is developed for coherent optical systems employing multilevel constellations. It outperforms the state-of-the-art NDA algorithm in terms of performance and complexity. Furthermore, a joint OSNR estimation and MC algorithm enabled by support vector machine is designed. Compared to deep neural network-based joint estimation approach, the proposed algorithm achieves better performance with comparable complexity. In addition, a low-complexity two-stage carrier phase estimation algorithm is proposed for coherent optical systems with 16-QAM format. The proposed algorithm exploits the second power operation instead of the conventional fourth power to remove the modulation phase, which is enabled by constellation partition and rotation. Optical back-to-back experiments and numerical simulations are carried out to evaluate the performance of the algorithm. Results show that, compared with the conventional fourth power-based CPE algorithm, the proposed algorithm provides comparable tolerance to the carrier phase noise, with reduced complexity. Lastly, a novel transmission scheme is investigated for the open and disaggregated metro coherent optical networks, which impose the requirements for multiple user connectivities on the limited orthogonal frequency resources. Thus, it is desirable to provide connections simultaneously to various users in a non-orthogonal way. A transmission scheme based on the non-orthogonal sparse code multiple access in a digital subcarrier multiplexing is proposed. Compared to power domain-based counterpart, the proposed scheme supports more than 2 users without user pairing and clustering. The feasibility of the proposed scheme is verified through numerical simulations. Three scenarios with 2, 4, and 6 users over 1, 2, and 4 subcarriers, respectively, are considered. Performance evaluations show that in all scenarios, the proposed scheme attains bit error ratio lower than the forward error correction limits with the transmission ranges of interest in metro applications

Power Consumption and Joint Signal Processing in Fiber-Optical Communication

The power consumption of coherent fiber-optical communication systems is becoming increasingly important, for both environmental and economic reasons. The data traffic on the Internet is increasing at a faster pace than that at which optical network equipment is becoming more energy efficient, which means that the overall power consumption of the Internet is increasing. In addition, wasted energy leads to higher costs for network operators, through increased electricity expenses but also because the heat generated in the equipment limits how closely it can be packed.This thesis includes both power consumption modelling and trade-off studies, as well as investigations of novel schemes for joint signal processing that may lead to an improved energy efficiency and increased performance in future systems. The power consumption modelling part includes a model of optical amplifier power consumption, which is connected to a performance model based on the Gaussian-noise model. Using these models, the trade-offs between amplifier power consumption and the choice of modulation format and forward-error-correction (FEC) scheme can be analyzed. Furthermore, the power consumption for a coherent link with minimal digital signal processing (DSP) is studied as well.In the second part we investigate joint signal processing for phase-coherent superchannel systems based on optical frequency combs or multicore fiber. We find that the phase-coherence of optical frequency comb lines enables joint carrier recovery, which can increase performance and reduce the power consumption of the digital signal processing. The possible power consumption savings are quantified for a blind phase search method for phase tracking. Finally, we quantify the performance of joint carrier recovery for wavelength division multiplexed multicore fiber transmission in presence of nonlinear interference and inter-core skew

Enabling Technology in Optical Fiber Communications: From Device, System to Networking

This book explores the enabling technology in optical fiber communications. It focuses on the state-of-the-art advances from fundamental theories, devices, and subsystems to networking applications as well as future perspectives of optical fiber communications. The topics cover include integrated photonics, fiber optics, fiber and free-space optical communications, and optical networking

Advances in Optical Amplifiers

Optical amplifiers play a central role in all categories of fibre communications systems and networks. By compensating for the losses exerted by the transmission medium and the components through which the signals pass, they reduce the need for expensive and slow optical-electrical-optical conversion. The photonic gain media, which are normally based on glass- or semiconductor-based waveguides, can amplify many high speed wavelength division multiplexed channels simultaneously. Recent research has also concentrated on wavelength conversion, switching, demultiplexing in the time domain and other enhanced functions. Advances in Optical Amplifiers presents up to date results on amplifier performance, along with explanations of their relevance, from leading researchers in the field. Its chapters cover amplifiers based on rare earth doped fibres and waveguides, stimulated Raman scattering, nonlinear parametric processes and semiconductor media. Wavelength conversion and other enhanced signal processing functions are also considered in depth. This book is targeted at research, development and design engineers from teams in manufacturing industry, academia and telecommunications service operators