Next Generation Optical Networks
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Next-Generation Optical Networks
Author: Lawrence Gasman
language: en
Publisher: Intl. Engineering Consortiu
Release Date: 2000-11
Addressing the developments in optical networking, this guide covers the market for advanced optical communications products used by interexchange carriers (IXC)/internet service providers (ISP), incumbent local-exchange carriers (ILEC), competitive local-exchange carriers (CLEC), and cable-television (CATV) operators. The focus of this research report is on next-generation systems that include the new generation of synchronous optical network (SONET) systems, which offer more intelligence and lower cost than previous generations of such systems, and commercial products that have begun to embody the dream of an all-optical network. Both transmission and switching equipment are covered.
Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities
By the end of the decade, approximately 50 billion devices will be connected over the internet using multiple services such as online gaming, ultra-high definition videos, and 5G mobile services. The associated data traffic demand in both fixed and mobile networks is increasing dramatically, causing network operators to have to migrate the existing optical networks towards next-generation solutions. The main challenge within this development stems from network operators having difficulties finding cost-effective next-generation optical network solutions that can match future high capacity demand in terms of data, reach, and the number of subscribers to support multiple network services on a common network infrastructure. Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities is an essential reference source that discusses the next generation of high capacity passive optical access networks (PON) in terms of design, implementation, and analysis and offers a complete reference of technology solutions for next-generation optical networks. Featuring research on topics such as artificial intelligence, electromagnetic interface, and wireless communication, this book is ideally designed for researchers, engineers, scientists, and students interested in understanding, designing, and analyzing the next generation of optical networks.
Fiber Nonlinear Compensation and Estimation for Next Generation Optical Networks
"Optical channel capacity is approaching the nonlinear Shannon limit with the assistance of advanced soft-decision forward error correction (FEC). For next generation optical systems, fiber nonlinearity effects are major impairments which limit the maximum capacity of backbone optical networks. In coherent transmission systems, low-complexity techniques to mitigate the fiber nonlinearities have attracted interest. In the optical network, a real-time fiber nonlinearity estimator would be essential in order to realize network optimization and throughput maximization. In this thesis we propose a low-complexity digital backpropagation (DBP) in subcarrier multiplexing systems (SCM) for fiber nonlinearity compensation. The technique is denoted as SCM-DBP. SCM-DBP can achieve a 50% maximum reach extension with 3200 km per DBP step for quadrature phase shift keying (QPSK) signals in single channel transmissions. Then, two modifications are proposed to further reduce the complexity of SCM-DBP. The first is reducing the number of interfering subcarriers when calculating the cross-subcarrier nonlinearity (CSN) distortion. The second is replacing the mathematical derived CSN filters with infinite impulse response (IIR) filters in the CSN compensation. These two modifications can achieve 48% complexity reduction if compared with SCM-DBP at a performance loss of only 0.07 dB. In order to realize nonlinearity compensation without any prior knowledge of a fiber link, a fully blind adaptive DBP is proposed. For homogeneous links, a two-parameter blind adaptive (TBA) scheme is demonstrated assuming all DBP steps have identical nonlinear scaling factor and filter bandwidth parameter. For heterogeneous links, a multi-parameter adaptive (MBA) scheme is proposed to achieve optimal performance by adapting the nonlinear scaling factor, bandwidth parameter and chromatic dispersion in each DBP step. Experimental and simulation results are presented to verify the efficiency of the two blind algorithms.Finally, we propose a fast evaluation model to calculate noise variance induced by fiber nonlinearity for the real-time planning of optical networks. The model is based on a fast incoherent Gaussian noise (IGN) model. We numerically investigate the accuracy of the proposed scheme in various scenarios. We show that with channels added and dropped at various locations of a fiber link, the proposed scheme is able to provide sufficiently high accuracy for most of the cases. " --