Browsing by Author "Lin, Tien-Chien"

Now showing 1 - 5 of 5

64-Gbit/s PAM-4 20-km Transmission Using Silicon Micro-ring Modulator for Optical Access Networks
(2017-01-01)
Hsu, Yung
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Tzu, Ta-Ching
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Lin, Tien-Chien
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Chung, Chun-Yen
;
Wu, Xinru
We demonstrate the feasibility of using silicon-micro-ring-modulators for 50-Gbitis and 64-Gbit/s pulse-amplitude-modulation-4 (PAM-4) communications in a 20-km single-mode fiber (SMF) link with Volterra-filtering. The integrated transmitter may be used in passive optical-access-networks with 20-kin-reach and 64-split-ratio.
Employing Deep Neural Network for High Speed 4-PAM Optical Interconnect
(2017-01-01)
Chuang, Chun-Yen
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Wei, Chia-Chien
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Lin, Tien-Chien
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Chi, Kai-Lun
;
Liu, Li-Chun
We implement a deep neural network (DNN) to attain a 64-Gbps 4-PAM, 4-km MMF link by using 850-nm VCSEL, with BER of 4.41 x 10(-5). The data-rate-distance product achieves recorded high of 256-Gbps.km for Inter-data center applications.
High Bit-Rate Distance Product of 128 Gbps.km 4-PAM Transmission over 2-km 0M4 fiber Using an 850-nm VCSEL and a Volterra Nonlinear Equalizer
(2017-01-01)
Liu, Jun-Jie
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Chi, Kai-Lun
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Wei, Chia-Chien
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Lin, Tien-Chien
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Chuang, Chun-Yen
We successfully demonstrate a 64-Gbps 4-PAM transmission over 2-kin OM4 fiber incorporating a Volterra equalizer with BER of 6.5 x10(-5). Record high bit-rate distance product of 128 Gbps.km is confirmed for optical-interconnect applications.
OPTUNS: Optical Edge Datacenter Network Architecture and Prototype Testbed for Supporting 5G
(2019-01-01)
Yuang, Maria
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Tien, Po-Lung
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Ruan, Wei-Zhang
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Lin, Tien-Chien
;
Wen, Shao-Chun
We present the architecture/testbed of an SDN-based optical-tunnel-network system (OPTUNS) for 5G edge-datacenters. Benchmarking results show that, compared to electrical-spine-leaf datacenter-network, OPTUNS achieves 82.6% power saving and significantly lower mean/p99 latency under high traffic load/locality.
OPTUNS: Optical intra-data center network architecture and prototype testbed for a 5G edge cloud [Invited]
(2020-01-01)
Yuang, Maria
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Tien, Po-Lung
;
Ruan, Wei-Zhang
;
Lin, Tien-Chien
;
Wen, Shao-Chun
An edge data center (EDC) network infrastructure is required to flexibly deliver massive bandwidth and ultralow latency for a 5G edge cloud. Existing electrical-switching-based infrastructure, however, has been shown incapable of meeting such requirements. In this paper, we present an EDC network architecture and prototype testbed, referred to as the intelligence-defined optical tunnel network system (OPTUNS). OPTUNS consists of a set of optical switching subsystems that operate collectively to facilitate packet transport through logical wavelength-based optical tunnels. These optical tunnels are governed by a software-defined-networking-based intelligent tunnel control system, in a proactive manner. As such, optical tunnels are always made available whenever needed. In essence, OPTUNS boasts several crucial features, including high scalability, massive wavelength reuse (yielding high bandwidth), proactive optical tunnel control (yielding ultralow latency), and fault tolerance. We have built an OPTUNS testbed, including 30 optical switching subsystem prototypes, that interconnect a total of 25 racks (400 servers). Benchmarking results show that OPTUNS achieves 82.6% power saving compared with electrical spine-leaf networks. Further, our NetPipe-based experimental results show that OPTUNS invariably achieves mean and p99 end-to-end latencies of less than 17 mu s, regardless of traffic load and locality. (C) 2019 Optical Society of America