LCoS-Based Wavelength-Selective Switch for Future Finer-Grid Elastic Optical Networks Capable of All-Optical Wavelength Conversion

IEEE Photonics Journal

Min Zhang¹  Danshi Wang¹  Zichen Liu²  Quan You²  Qi Yang²  Shaohua Yu²  Dequan Xie³ 

[1] State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China;State Key Laboratory of Optical Communication Technologies and Networks, Wuhan Research Institute of Posts and Telecommunications, Wuhan, Hubei, China;Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China;

关键词: Liquid-crystal devices;    optical switching devices;    elastic optical network;    nonlinear optical signal processing.;   

DOI  :  10.1109/JPHOT.2017.2671436

来源: DOAJ

【 摘 要 】

A finer-grid wavelength-selective switch (WSS) based on liquid crystal on silicon is proposed, fabricated, and demonstrated. Based on the cost-effective method, namely combined lenses technique, the focal length is increased so that both the bandwidth setting resolution and grid granularity is improved from 12.5 to 6.25 GHz compared with the conventional WSS. To demonstrate its utility, we apply this finer-grid WSS to a reconfigurable optical add/drop multiplexer structure and an all-optical wavelength conversion (AOWC) module. To enable a finer-grid WSS, the performance of a finer-grid elastic optical network (EON) capable of AOWC is also investigated. Different from the conventional AOWC scheme for fixed-grid WDM networks, we propose and experimentally demonstrate a four-wave-mixing-based AOWC module specifically for EON. In addition to physical experiments, an optical network's control and management scheme corresponding to the designed physical scenario is also investigated. Experimental and simulation results show that the proposed method achieves higher spectrum efficiency, lower blocking probability, finer switching granularity, and higher conversion resolution.

【 授权许可】

Unknown