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Featured researches published by Shuang Yin.


international conference on transparent optical networks | 2013

UltraFlow access networks: A dual-mode solution for the access bottleneck

Leonid G. Kazovsky; Ahmad R. Dhaini; Marc De Leenheer; Thomas Shun Rong Shen; Shuang Yin; Benjamin A. Detwiler

Optical Flow Switching (OFS) is promised to be an efficient solution for large Internet data transfers. In this paper, we introduce UltraFlow Access, a novel optical access network architecture that offers dual-mode service to its end-users: IP and OFS. With UltraFlow Access, we design and implement a new control plane and a novel dual-mode network stack to ensure efficient connection setup, and reliable and optimal data transmission. Experimental testbed results demonstrate concurrent error-free transmission of 10 Gbps per-wavelength OFS and 1.25 Gbps conventional IP, delivered over the same infrastructure.


IEEE\/OSA Journal of Optical Communications and Networking | 2013

UltraFlow access testbed: Experimental exploration of dual-mode access networks

Shuang Yin; Ahmad R. Dhaini; Thomas Shun Rong Shen; Benjamin A. Detwiler; Marc De Leenheer; Talip Ucar; Leonid G. Kazovsky

Electrical packet switching is well known as a flexible solution for small data transfers, whereas optical flow switching (OFS) might be an effective solution for large Internet file transfers. The UltraFlow project, a joint effort of three universities, Stanford, Massachusetts Institute of Technology, and University of Texas-Dallas, aims at providing an efficient dual-mode solution (i.e., IP and OFS) to the current network. In this paper, we propose and experimentally demonstrate UltraFlow Access, a novel optical access network that enables dual-mode service to the end users: IP and OFS. The new architecture cooperates with legacy passive optical networks (PONs) to provide both IP and novel OFS services. The latter is facilitated by a novel optical flow network unit (OFNU) that we have proposed, designed, and experimentally demonstrated. Different colored and colorless OFNU designs are presented, and their impact on the network performance is explored. Our testbed experiments demonstrate concurrent bidirectional 1.25 Gbps IP and 10 Gbps per-wavelength Flow error-free communication delivered over the same infrastructure. The support of intra-PON OFS communication, that is, between two OFNUs in the same PON, is also explored and experimentally demonstrated.


Journal of Lightwave Technology | 2014

Reconfigurable Long-Reach UltraFlow Access Network: A Flexible, Cost-Effective, and Energy-Efficient Solution

Thomas Shun Rong Shen; Shuang Yin; Ahmad R. Dhaini; Leonid G. Kazovsky

In this paper, we propose and experimentally demonstrate a reconfigurable long-reach (R-LR) UltraFlow access network to provide flexible dual-mode (IP and Flow) service with lower capital expenditure (CapEx) and higher energy efficiency. UltraFlow is a research project involves the collaboration of Stanford, MIT, and UT-Dallas. The design of the R-LR UltraFlow access network enables seamless integration of the Flow service with IP passive optical networks deployed with different technologies. To fulfill the high-wavelength demand incurred by the extended service reach, we propose the use of multiple feeder fibers to form subnets within the UltraFlow access network. Two layers of custom switching devices are installed at the central office (CO) and remote node to provide flexibility in resource allocation and user grouping. With a centralized software-defined network (SDN) controller at the CO to control the dual-mode service, numerical analysis indicates that the reconfiguration architecture is able to reduce the CapEx during initial deployment by about 30%. A maximum of around 50% power savings is also achieved during low traffic period. The feasibility of the new architecture and the operation of the SDN controller are both successfully demonstrated on our experimental testbed.


Journal of Lightwave Technology | 2015

A Novel Quasi-Passive, Software-Defined, and Energy Efficient Optical Access Network for Adaptive Intra-PON Flow Transmission

Shuang Yin; Thomas Shun Rong Shen; Yingying Bi; Jing Jin; Tomofumi Oyama; Leonid G. Kazovsky

In this paper, we propose, design, and demonstrate a novel Intra-PON Flow transmission with optical reroute using a Quasi-PAssive Reconfigurable (QPAR) node. The network can be reconfigured adaptively according to the monitored traffic status in a software-defined manner. Simulations show that PON with reroute architecture can achieve ~20% higher network capacity comparing to PON without reroute case with the same traffic waiting time or blocking probability requirement. PON with reroute consistently outperforms PON without reroute configuration with 20% larger throughput and 24% less power consumption with the Intra-PON traffic ratio of 0.3. In addition, adaptive Intra-wavelength assignment with a QPAR node can adapt to the subscription rate growth with time, and provide cost and power savings compared to PON without reroute and fixed PON with reroute architectures by approximately 20% and 10%. Moreover, adaptive Intra-PON architecture with a QPAR node can facilitate efficient multicast transmission for video or file backup among multiple serves located in different access networks, which can provide lower traffic waiting time, 14% power saving, and support roughly 30% higher traffic comparing to the fixed PON with reroute design with a multicast ratio of 0.5.


optical fiber communication conference | 2014

Experimental Demonstration of Reconfigurable Long-Reach UltraFlow Access: Software-Defined Dual-Mode Networks

Thomas Shun Rong Shen; Shuang Yin; Ahmad R. Dhaini; Leonid G. Kazovsky

We propose and experimentally demonstrate a novel reconfigurable long-reach software-defined UltraFlow access network that provides flexible, robust and energy efficient optical Flow switched and legacy IP services to end-users located in wide areas.


IEEE\/OSA Journal of Optical Communications and Networking | 2017

Connected OFCity: Technology innovations for a smart city project [Invited]

Rod Tucker; Marco Ruffini; Luca Valcarenghi; Divanilson R. Campelo; Dimitra Simeonidou; Liang Du; Maria-Cristina Marinescu; Catherine Middleton; Shuang Yin; Timothy K. Forde; Kevin Bourg; Eugene Dai; Ed Harstead; Philippe Chanclou; Hal Roberts; Volker Jungnickel; Sergi Figuerola; Tomoo Takahara; Rajesh Yadav; Peter Vetter; Denis A. Khotimsky; Jun Shan Wey

Around the world, municipalities have been making substantial investments into broadband access infrastructure to accelerate the build-out of an urban phenomenon that has become known as a smart or connected city. At the 2016 Optical Fiber Communications Conference, a team contest, the Connected OFCity Challenge, was held to discuss the technological innovations and to examine dependencies and intricacies of a connected city project. The participants, four teams of experts coming from a cross-section of the industry, presented and defended their visions of future applications and innovative architecture and technologies to realize the interconnection. This paper provides a synthesis of the four competitive proposals offered for the contest and their ensuing discussions.


Journal of Lightwave Technology | 2016

UltraFlow Access Network With Remotely Powered and Controlled Quasi-Passive Reconfigurable Remote Node

Thomas Shun Rong Shen; Yingying Bi; Shuang Yin; Jing Jin; Leonid G. Kazovsky

In this paper, we propose an UltraFlow access network enabled by a remotely powered and controlled quasi-passive reconfigurable (QPAR) node. Residing at the remote node (RN), QPAR can dynamically split and route optical channels to any users attached to its outputs, thereby improving bandwidth efficiency and ensuring harmonic coexistence of different network services in the UltraFlow access network. We experimentally demonstrate the proposed UltraFlow access network with a 2 × 4 × 4 QPAR. The QPAR module is powered by a local supercapacitor that is remotely charged by remote laser power. Remote switching control in the QPAR has also been demonstrated with a self-designed control circuit. Scalability of the system is studied in the context of channel power budget and switching control in QPAR. Compared to other RN architectures, QPAR enabled UltraFlow access network uses about 50% less channels on average during low traffic time, and significantly reduces IP service delays in presence of unbalanced IP traffics. Simulation results also indicate that QPAR helps to mitigate the impact of multicast Flow traffic on Flow service delays by a maximum of 90%.


opto electronics and communications conference | 2015

Quasi-Passive Reconfigurable (QPAR) node enabled software-defined and energy-efficient intra-PON optical Flow transmission

Shuang Yin; Thomas Shun Rong Shen; Yingying Bi; Jing Jin; Leonid G. Kazovsky

We experimentally demonstrate error-free Intra-PON Flow transmission via a QPAR node. Simulations show Intra-PON outperforms regular PON in waiting time, blocking probability, throughput and energy consumption. Adaptive Intra-PON features up to 20% network cost reduction.


european conference on optical communication | 2015

Remotely pumped and high splitting ratio (1:512) intra-PON flow transmission via a distantly powered quasi-passive reconfigurable (QPAR) node

Shuang Yin; Yingying Bi; Thomas Shun Rong Shen; Tomofumi Oyama; Leonid G. Kazovsky

We experimentally demonstrate high splitting ratio (up to 1:512) and adaptive Intra-PON transmission with a remotely pumped EDFA (R-EDFA) and distantly powered QPAR node. 75 dB power budget at BER of 10-3, and 3.5 ms remote switching time are obtained.


conference on lasers and electro optics | 2015

Software-defined intra-PON optical flow transmission via a quasi-passive reconfigurable (QPAR) node

Shuang Yin; Thomas Shun Rong Shen; Yingying Bi; Jing Jin; Leonid G. Kazovsky

This paper demonstrates Intra-PON optical Flow transmission via a QPAR node. Simulations show 2 to 20x traffic waiting time reduction comparing to no or fixed Intra-PON designs. Experiments show error-free Intra- and Inter-traffic with/without QPAR reconfiguration.

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