High-Speed Terahertz Band Radio-Over-Fiber System Using Hybrid Time-Frequency Domain Equalization

被引:25
|
作者
Wang, Chen [1 ,2 ]
Wang, Kaihui [1 ,2 ]
Tan, Yuxuan [1 ,2 ]
Wang, Feng [1 ,2 ]
Sang, Bohan [1 ,2 ]
Li, Weiping [1 ,2 ]
Zhou, Wen [1 ,2 ]
Yu, Jianjun [1 ,2 ]
机构
[1] Fudan Univ, Key Lab Informat Sci Electromagnet Waves MoE, Shanghai Inst Adv Commun & Data Sci, Shanghai 200433, Peoples R China
[2] Fudan Univ, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China
关键词
OFDM; Artificial neural networks; Symbols; Convolution; Wireless communication; Optical transmitters; Kernel; Terahertz band transmission; RoF system; TFDE; complex-valued convolution neural network;
D O I
10.1109/LPT.2022.3171776
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
The radio-over-fiber (RoF) orthogonal frequency division multiplexing (OFDM) system at Terahertz (THz) band has been a promising solution to meet the demand for high capacity and flexibility. The signals transmitted in the RoF system will suffer severe impairments caused by the wireless multi-path effect, optical fiber transmission, and photoelectric device response. The time-frequency domain equalization (TFDE) based on the two-dimension convolution (Conv2D) neural network (NN) is proposed to resist the linear and nonlinear impairments of the RoF-OFDM system. Furthermore, complex convolution is applied to compensate for the complex channel response. Compared with several baseline models, the detailed performance improvement and model size discussion of the complex-valued Conv2D NN TFDE are investigated. With the aid of the complex-valued Conv2D NN TFDE, the 16 Gbaud 16-ary quadrature amplitude modulation (16QAM) signals are delivered over 54.6 m wireless distance and 20 km standard single mode fiber. The line rate of this RoF system achieves 53.5 Gbit/s.
引用
收藏
页码:559 / 562
页数:4
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