Journal of International Financial Markets, Institutions and Money, 2012
The present article studies the dynamic linkages between the LIBOR-OIS spreads of major currencie... more The present article studies the dynamic linkages between the LIBOR-OIS spreads of major currencies for the period of March 1, 2006 to November 12, 2008. The Dynamic Conditional Correlation model is employed to examine the impact of the global financial crisis on the cross-currency correlations of the spreads. The overall evidence suggests that the crisis increased the degree of money market integration of the Australian dollar, the Euro and the Sterling with the US dollar. The Japanese Yen appears to have been insulated from the US dollar shortage shocks throughout the period. In addition, the FX swap market liquidity plays an important role in explaining the market integration, whereas the credit worthiness difference between the LIBOR panel banks is a less significant factor.
By using PolMux-RZ-QPSK modulation format and digital coherent detection, we have demonstrated 20... more By using PolMux-RZ-QPSK modulation format and digital coherent detection, we have demonstrated 20times112 Gbit/s DWDM transmission over 1540 km of SSMF without using Raman amplification or optical dispersion compensation.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
An OFDM-based all-optical intra-data center network architecture without optical or electrical sw... more An OFDM-based all-optical intra-data center network architecture without optical or electrical switches is described. It offers large capacity any-to-any switching with flexible fine granular bandwidth sharing, low power, low cost, and software-defined centralized control.
2020 Optical Fiber Communications Conference and Exhibition (OFC), 2020
We propose reusing existing optical cables in metropolitan networks for distributed sensing using... more We propose reusing existing optical cables in metropolitan networks for distributed sensing using a bidirectional, dual-band architecture where communications and sensing signals can coexist with weak interaction on the same optical fiber.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
We propose a comprehensive QoT prediction tool based on fast analytical modeling for on-the-fly s... more We propose a comprehensive QoT prediction tool based on fast analytical modeling for on-the-fly signal assessments in networks with uncompensated coherent systems and confirm its superiority in reducing over-engineering compared to system-reach methods.
2016 21st OptoElectronics and Communications Conference (OECC) held jointly with 2016 International Conference on Photonics in Switching (PS), 2016
We demonstrate 1.2-Tb/s (300-Gb/s per λ) WDM+SDM transmission over 1 km of four-core elliptical-c... more We demonstrate 1.2-Tb/s (300-Gb/s per λ) WDM+SDM transmission over 1 km of four-core elliptical-core few-mode fiber with 125-µm diameter cladding, using only 4-PAM and OOK with direct detection and no MIMO.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
We address the first distance-adaptive virtual network embedding problem in software-defined opti... more We address the first distance-adaptive virtual network embedding problem in software-defined optical networks, and propose a fragmentation-aware algorithm. The impacts of fixed and flexible grid transports are evaluated in the number of embedded virtual instances.
MIMO-less space division multiplexing with elliptical core optical fibers is reviewed. Real-time,... more MIMO-less space division multiplexing with elliptical core optical fibers is reviewed. Real-time, bi-directional, and Tb-scale data rates with direct detection over the spatial modes/cores of km-scale, few mode/multicore elliptical core optical fibers are demonstrated.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
We demonstrate the first real-time high-capacity star OFDM-based all-optical intra-data center ne... more We demonstrate the first real-time high-capacity star OFDM-based all-optical intra-data center network using burst switching and OpenFlow-based software-defined networking. It offers efficient flexible bandwidth multi-vendor any-to-any switching and hitless in-service upgrade.
Optical Fiber Communication Conference Postdeadline Papers 2019
For the first time, we demonstrate detection of vehicle speed, density, and road conditions using... more For the first time, we demonstrate detection of vehicle speed, density, and road conditions using deployed fiber carrying high-speed data transmission, and prove carriers' large-scale fiber infrastructures can also be used as ubiquitous sensing networks.
To the best of our knowledge, we present the first field trial of distributed fiber optical sensi... more To the best of our knowledge, we present the first field trial of distributed fiber optical sensing (DFOS) and high-speed communication, comprising a coexisting system, over an operation telecom network. Using probabilistic-shaped (PS) DP-144QAM, a 36.8 Tb/s with an 8.28-b/s/Hz spectral efficiency (SE) (48-Gbaud channels, 50-GHz channel spacing) was achieved. Employing DFOS technology, road traffic, i.e., vehicle speed and vehicle density, were sensed with 98.5% and 94.5% accuracies, respectively, as compared to video analytics. Additionally, road conditions, i.e., roughness level was sensed with >85% accuracy via a machine learning based classifier.
The higher-order spatial modes of a light beam are receiving significant interest. They can be us... more The higher-order spatial modes of a light beam are receiving significant interest. They can be used to further increase the data speeds of high speed optical communication, and for novel optical sensing modalities. As such, the classification of higher-order spatial modes is ubiquitous. Canonical classification methods typically require the use of unconventional optical devices. However, in addition to having prohibitive cost, complexity, and efficacy, such methods are dependent on the light beam’s size and alignment. In this work, a novel method to classify higher-order spatial modes is presented, where a convolutional neural network is applied to images of higher-order spatial modes that are taken with a conventional camera. In contrast to previous methods, by training the convolutional neural network with higher-order spatial modes of various alignments and sizes, this method is not dependent on the light beam’s size and alignment. As a proof of principle, images of 4 Hermite-Gaussian modes (HG00, HG01, HG10, and HG11) are numerically calculated via known solutions to the electromagnetic wave equation, and used to synthesize training examples. It is shown that as compared to training the convolutional neural network with training examples that have the same sizes and alignments, a ~2× increase in accuracy can be achieved.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
We address the first distance-adaptive virtual network embedding problem in software-defined opti... more We address the first distance-adaptive virtual network embedding problem in software-defined optical networks, and propose a fragmentation-aware algorithm. The impacts of fixed and flexible grid transports are evaluated in the number of embedded virtual instances.
Journal of International Financial Markets, Institutions and Money, 2012
The present article studies the dynamic linkages between the LIBOR-OIS spreads of major currencie... more The present article studies the dynamic linkages between the LIBOR-OIS spreads of major currencies for the period of March 1, 2006 to November 12, 2008. The Dynamic Conditional Correlation model is employed to examine the impact of the global financial crisis on the cross-currency correlations of the spreads. The overall evidence suggests that the crisis increased the degree of money market integration of the Australian dollar, the Euro and the Sterling with the US dollar. The Japanese Yen appears to have been insulated from the US dollar shortage shocks throughout the period. In addition, the FX swap market liquidity plays an important role in explaining the market integration, whereas the credit worthiness difference between the LIBOR panel banks is a less significant factor.
By using PolMux-RZ-QPSK modulation format and digital coherent detection, we have demonstrated 20... more By using PolMux-RZ-QPSK modulation format and digital coherent detection, we have demonstrated 20times112 Gbit/s DWDM transmission over 1540 km of SSMF without using Raman amplification or optical dispersion compensation.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
An OFDM-based all-optical intra-data center network architecture without optical or electrical sw... more An OFDM-based all-optical intra-data center network architecture without optical or electrical switches is described. It offers large capacity any-to-any switching with flexible fine granular bandwidth sharing, low power, low cost, and software-defined centralized control.
2020 Optical Fiber Communications Conference and Exhibition (OFC), 2020
We propose reusing existing optical cables in metropolitan networks for distributed sensing using... more We propose reusing existing optical cables in metropolitan networks for distributed sensing using a bidirectional, dual-band architecture where communications and sensing signals can coexist with weak interaction on the same optical fiber.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
We propose a comprehensive QoT prediction tool based on fast analytical modeling for on-the-fly s... more We propose a comprehensive QoT prediction tool based on fast analytical modeling for on-the-fly signal assessments in networks with uncompensated coherent systems and confirm its superiority in reducing over-engineering compared to system-reach methods.
2016 21st OptoElectronics and Communications Conference (OECC) held jointly with 2016 International Conference on Photonics in Switching (PS), 2016
We demonstrate 1.2-Tb/s (300-Gb/s per λ) WDM+SDM transmission over 1 km of four-core elliptical-c... more We demonstrate 1.2-Tb/s (300-Gb/s per λ) WDM+SDM transmission over 1 km of four-core elliptical-core few-mode fiber with 125-µm diameter cladding, using only 4-PAM and OOK with direct detection and no MIMO.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
We address the first distance-adaptive virtual network embedding problem in software-defined opti... more We address the first distance-adaptive virtual network embedding problem in software-defined optical networks, and propose a fragmentation-aware algorithm. The impacts of fixed and flexible grid transports are evaluated in the number of embedded virtual instances.
MIMO-less space division multiplexing with elliptical core optical fibers is reviewed. Real-time,... more MIMO-less space division multiplexing with elliptical core optical fibers is reviewed. Real-time, bi-directional, and Tb-scale data rates with direct detection over the spatial modes/cores of km-scale, few mode/multicore elliptical core optical fibers are demonstrated.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
We demonstrate the first real-time high-capacity star OFDM-based all-optical intra-data center ne... more We demonstrate the first real-time high-capacity star OFDM-based all-optical intra-data center network using burst switching and OpenFlow-based software-defined networking. It offers efficient flexible bandwidth multi-vendor any-to-any switching and hitless in-service upgrade.
Optical Fiber Communication Conference Postdeadline Papers 2019
For the first time, we demonstrate detection of vehicle speed, density, and road conditions using... more For the first time, we demonstrate detection of vehicle speed, density, and road conditions using deployed fiber carrying high-speed data transmission, and prove carriers' large-scale fiber infrastructures can also be used as ubiquitous sensing networks.
To the best of our knowledge, we present the first field trial of distributed fiber optical sensi... more To the best of our knowledge, we present the first field trial of distributed fiber optical sensing (DFOS) and high-speed communication, comprising a coexisting system, over an operation telecom network. Using probabilistic-shaped (PS) DP-144QAM, a 36.8 Tb/s with an 8.28-b/s/Hz spectral efficiency (SE) (48-Gbaud channels, 50-GHz channel spacing) was achieved. Employing DFOS technology, road traffic, i.e., vehicle speed and vehicle density, were sensed with 98.5% and 94.5% accuracies, respectively, as compared to video analytics. Additionally, road conditions, i.e., roughness level was sensed with >85% accuracy via a machine learning based classifier.
The higher-order spatial modes of a light beam are receiving significant interest. They can be us... more The higher-order spatial modes of a light beam are receiving significant interest. They can be used to further increase the data speeds of high speed optical communication, and for novel optical sensing modalities. As such, the classification of higher-order spatial modes is ubiquitous. Canonical classification methods typically require the use of unconventional optical devices. However, in addition to having prohibitive cost, complexity, and efficacy, such methods are dependent on the light beam’s size and alignment. In this work, a novel method to classify higher-order spatial modes is presented, where a convolutional neural network is applied to images of higher-order spatial modes that are taken with a conventional camera. In contrast to previous methods, by training the convolutional neural network with higher-order spatial modes of various alignments and sizes, this method is not dependent on the light beam’s size and alignment. As a proof of principle, images of 4 Hermite-Gaussian modes (HG00, HG01, HG10, and HG11) are numerically calculated via known solutions to the electromagnetic wave equation, and used to synthesize training examples. It is shown that as compared to training the convolutional neural network with training examples that have the same sizes and alignments, a ~2× increase in accuracy can be achieved.
2013 18th OptoElectronics and Communications Conference held jointly with 2013 International Conference on Photonics in Switching (OECC/PS), 2013
We address the first distance-adaptive virtual network embedding problem in software-defined opti... more We address the first distance-adaptive virtual network embedding problem in software-defined optical networks, and propose a fragmentation-aware algorithm. The impacts of fixed and flexible grid transports are evaluated in the number of embedded virtual instances.
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Papers by Philip Ji