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Featured researches published by Ao Yu.


opto electronics and communications conference | 2017

Cross-stratum resources integration in fog-Computing-based radio over fiber networks for 5G services

Hui Yang; Wei Bai; Ao Yu; Jie Zhang; Zhengyong Wang

In this paper, we present a novel cross-stratum resources integration (CSRI) architecture in fog-computing-based radio over fiber networks (F-RoFN) for 5G services. Additionally, a cross-stratum optimization (CSO) scheme is introduced in the proposed architecture. The CSRI architecture with CSO scheme can effectively pull the remote processing resource locally to implement the cooperative radio resource management, enhance the responsiveness to the dynamic end-to-end 5G service demands, and reduce the blocking probability to globally optimize optical network and application resources. The feasibility and efficiency of the proposed architecture are experimentally verified on our testbed.


Photonic Network Communications | 2017

Performance evaluation of software-defined clustered-optical access networking for ubiquitous data center optical interconnection

Hui Yang; Wei Bai; Ao Yu; Jie Zhang

Ubiquitous data center optical interconnection between user and data center has become a promising scenario gradually to accommodate high-performance services with end-to-end quality guaranteed. In our previous work, we implemented to provision data center application in inter-data center optical interconnection. In view of this, this study extends to consider the networking relationship between user and data center. We propose a novel software-defined clustered-optical access networking (SD-COAN) architecture for data center services in ubiquitous data center optical interconnection. A cross-stratum flow schedule (CSFS) strategy is introduced for SD-COAN based on the proposed architecture. The SD-COAN can enhance the responsiveness to the dynamic end-to-end data center demands and globally optimize optical access network and application resources effectively. The overall feasibility and efficiency of the proposed architecture are experimentally verified on our OpenFlow-based enhanced SDN testbed. The performance of CSFS strategy under heavy traffic load scenario is also quantitatively evaluated based on SD-COAN architecture in terms of resource occupation rate, average throughput and average provisioning delay, compared with other provisioning strategy.


Optical Engineering | 2017

De-optical-line-terminal hybrid access–aggregation optical network for time-sensitive services based on software-defined networking orchestration

Wei Bai; Hui Yang; Hongyun Xiao; Ao Yu; Linkuan He; Jie Zhang; Zhen Li; Yi Du

Abstract. With the increase in varieties of services in network, time-sensitive services (TSSs) appear and bring forward an impending need for delay performance. Ultralow-latency communication has become one of the important development goals for many scenarios in the coming 5G era (e.g., robotics and driverless cars). However, the conventional methods, which decrease delay by promoting the available resources and the network transmission speed, have limited effect; a new breakthrough for ultralow-latency communication is necessary. We propose a de-optical-line-terminal (De-OLT) hybrid access–aggregation optical network (DAON) for TSS based on software-defined networking (SDN) orchestration. In this network, low-latency all-optical communication based on optical burst switching can be achieved by removing OLT. For supporting this network and guaranteeing the quality of service for TSSs, we design SDN-driven control method and service provision method. Numerical results demonstrate the proposed DAON promotes network service efficiency and avoids traffic congestion.


Fourth Seminar on Novel Optoelectronic Detection Technology and Application | 2018

A precise time synchronization method for 5G based on radio-over-fiber network with SDN controller

Linkuan He; Baoguo Wei; Hui Yang; Ao Yu; Zhengyong Wang; Jie Zhang

There is an increasing demand on accurate time synchronization with the growing bandwidth of network service for 5G. In 5G network, it’s necessary for base station to achieve accurate time synchronization to guarantee the quality of communication. In order to keep accuracy time for 5G network, we propose a time synchronization system for satellite ground station based on radio-over-fiber network (RoFN) with software defined optical network (SDON) controller. The advantage of this method is to improve the accuracy of time synchronization of ground station. The IEEE 1588 time synchronization protocol can solve the problems of high cost and lack of precision. However, in the process of time synchronization, distortion exists during the transmission of digital time signal. RoF uses analog optical transmission links and therefore analog transmission can be implemented among ground stations instead of digital transmission, which means distortion and bandwidth waste in the process of digital synchronization can be avoided. Additionally, the thought of SDN, software defined network, can optimize RoFN with centralized control and simplifying base station. Related simulation had been carried out to prove its superiority.


opto electronics and communications conference | 2017

Micro edge cloud architecture with elastic optical network for resource virtualization in 5G

Linkuan He; Hui Yang; Yongli Zhao; Wei Bai; Ao Yu; Hongyun Xiao; Jie Zhang

We present a micro edge cloud (MEC) architecture for resource optimization and implement the virtualization of resource. The virtualization solution is demonstrated to verify the overall feasibility and efficiency.


opto electronics and communications conference | 2017

Flexible intelligence cloud-based radio over optical fiber networks based on reconfigurable wavelength-frequency selective switch

Wei Bai; Hui Yang; Ao Yu; Linkuan He; Yongli Zhao; Jie Zhang; Zhengyong Wang

This paper proposes a flexible intelligence cloud-based radio over optical fiber networks by designing and using a reconfigurable wavelength-frequency selective switch. Numerical results demonstrate the feasibility of the proposed architecture and excellent spectrum effectiveness.


Asia Communications and Photonics Conference 2016 (2016), paper AF2A.156 | 2016

Performance Evaluation of Multi-Request to Multi-Resource Strategy Based on Network Function Virtualization in Classified Optical Network

Ao Yu; Hui Yang; Yongli Zhao; Jie Zhang; Wei Bai; Yuanlong Tan; Linkuan He; Zhu Liu; Qinghai Ou; Ziguan Zhou

We present a novel fragmentary resources optimization architecture (FROA) model in classified optical networks (CON). A multi-request to multi-resources (MRMR) algorithm is proposed based on the model. Simulation results show MRMR can get better performance.


optical fiber communication conference | 2018

Leveraging Deep Learning to Achieve Efficient Resource Allocation with Traffic Evaluation in Datacenter Optical Networks

Ao Yu; Hui Yang; Wei Bai; Linkuan He; Hongyun Xiao; Jie Zhang


Optical Fiber Technology | 2018

Eavesdropping-aware routing and spectrum allocation based on multi-flow virtual concatenation for confidential information service in elastic optical networks

Wei Bai; Hui Yang; Ao Yu; Hongyun Xiao; Linkuan He; Lei Feng; Jie Zhang


IEEE Access | 2018

Core, Mode, and Spectrum Assignment Based on Machine Learning in Space Division Multiplexing Elastic Optical Networks

Qiuyan Yao; Hui Yang; Ruijie Zhu; Ao Yu; Wei Bai; Yuanlong Tan; Jie Zhang; Hongyun Xiao

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Hui Yang

Beijing University of Posts and Telecommunications

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Jie Zhang

Beijing University of Posts and Telecommunications

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Wei Bai

Beijing University of Posts and Telecommunications

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Linkuan He

Beijing University of Posts and Telecommunications

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Yongli Zhao

Beijing University of Posts and Telecommunications

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Lei Feng

Beijing University of Posts and Telecommunications

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Qiuyan Yao

Beijing University of Posts and Telecommunications

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Ruijie Zhu

Beijing University of Posts and Telecommunications

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Yuanlong Tan

Beijing University of Posts and Telecommunications

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