Silicon Photonic Integrated Reservoir Computing Processor with Ultra-high Tunability for High-speed IM/DD Equalization

被引：0

作者：

Sun, Aolong ^{[1
]}

Yan, An ^{[1
]}

Luo, Penghao ^{[1
]}

Zhang, Junwen ^{[1
,2
]}

Chi, Nan ^{[1
,2
]}

机构：

[1] Fudan Univ, Dept Commun Sci & Engn, Key Lab Informat Sci Electromagnet Waves MoE, 220 Handan Rd, Shanghai 200433, Peoples R China

[2] Peng Cheng Lab, Shenzhen 518055, Peoples R China

来源：

2022 IEEE 7TH OPTOELECTRONICS GLOBAL CONFERENCE, OGC | 2022年

基金：

上海市自然科学基金; 中国国家自然科学基金;

关键词：

Photonic Reservoir Computing; silicon photonics; IM/DD equalization;

D O I：

10.1109/OGC55558.2022.10051045

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Intensity modulation and direct detection (IM/DD) technology still dominates the optical fiber communication region for the sake of cost and energy efficiency. Reservoir Computing (RC), a special machine learning algorithm suitable for sequence models, has recently been applied to reduce the inter-symbol interference (ISI) caused by dispersion and Kerr nonlinearity in IM/DD systems. In this paper, we designed and numerically simulated a Photonic Integrated Reservoir Computing Processor (PIRCP) with two recurrent nodes using a standard silicon-on-insulator platform. The PIRCP exhibits ultra-high tunability of phase, intensity, delay time and detuning frequency of the optical carrier, which greatly facilitates parameter sweeping for the obtaining of the optimal processing performance. To validate the efficiency of our design, we implemented the PIRCP along with a Feed Forward Equalizer (FFE) in the receiver-end, and finally achieved sub HD-FEC performance for 112 Gbps/. transmission over 60 km standard single-mode fiber (SSMF) with an ROP of -15 dBm, showing an improvement of 5 dBm compared with non-RC scheme.

引用

页码：227 / 230

页数：4