Paper Info
Title
Theoretical and numerical analyses for PDM-IM signals using Stokes vector receivers
Abstract
Different from current coherent-detection-based long-haul transmission systems, inter- and intradatacenter transmissions require a simpler transmitter and receiver. A promising way to significantly meet the demands of datacenter transmission is polarization division multiplexing intensity modulation with direct detection (PDM-IM-DD) using a Stokes vector receiver (SVR). However, for different SVR architectures, the corresponding demultiplexing matrix is required to recover the Stokes vectors from the detected signals, which are combined with an arbitrary state of polarization (SOP), will change the effect of noise dynamically and significantly influence the system performance. In this study, PDM-IM signals using four SVRs, i.e., a 90 degrees optical hybrid with 2 balanced photodetectors (BPDs) and 2 photodetectors (PDs), a 90 degrees optical hybrid with 4 PDs, a Stokes analyzer and a 3 x 3 coupler with 4 PDs, are studied theoretically and numerically. Theoretical system models using the four SVRs are developed, and the noise power variations are analyzed quantitatively based on these models. Moreover, the performance of the systems is also investigated for 224 Gbit/s polarization division multiplexing pulse amplitude modulation 4 level with direct detection (PDM-PAM4-DD) transmission in a simulation. The simulation results show that the bit error rate (BER) performance of the systems is consistent with the theoretical noise power variation curves. The theoretical analysis scheme is helpful for the practical design of SVR-based systems.
Year
DOI
Venue
2020
10.1007/s11432-019-2870-8
SCIENCE CHINA-INFORMATION SCIENCES
Keywords
DocType
Volume
short-reach optical communications,PAM4,polarization division multiplexing,Stokes vector,direct detection
Journal
63
Issue
ISSN
Citations 
10
1674-733X
0
PageRank 
References 
Authors
0.34
3
10
Name
Order
Citations
PageRank
Jiahao Huo102.37
Xian Zhou205.41
Chao Shang300.34
Wei Huangfu413720.80
Jinhui Yuan503.38
Huansheng Ning684783.48
K. Long71695138.11
Changyuan Yu86524.63
Alan Pak Tao Lau92511.12
Chao Lu10815.01