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Joint Partial Response Equalization With Mapping-Rule-Based Simplified Maximum Likelihood Decoder for Intra-DCIs

delete2025-01-01
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PRE
AI
J
Jiahao Zhou
X
Xue Zhao
张婧 cover
张婧 (Jing Zhang) *
C
Chenye Wang
Z
Zhengyu Ma
S
Shaohua Hu
Z
Zhaopeng Xu
B
Bo Xu
K
Kun Qiu
DOI:10.1109/JLT.2024.3445157delete
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Abstract

Abstract

En 中文
As the explosive growth of global IP traffic, the bandwidth growth of optoelectronic devices in intensity modulation/direct detection (IM/DD) systems has begun lagging the capacity increasing of intra-datacenter interconnects (DCIs). The partial response (PR) signaling and various advanced equalizers have been introduced to solve the band-limited effect. In this paper, we propose and experimentally demonstrate a joint PR equalization (PRE) with mapping-rule-based simplified maximum likelihood sequence estimation (MRS-MLSE) scheme in a 256-Gb/s 4-ary pulse amplitude modulation (PAM-4) transmission system. The MRS-MLSE compresses the candidate alphabet of each PRE symbol according to the mapping rule of PRE signaling, resulting in a 41.2% computational complexity reduction compared to the traditional full-state MLSE. Moreover, we design a Monitor-Activate-Correct structure that activates the MRS-MLSE to correct errors when detecting error propagations caused by the fundamental 1/(1+D) decoder. The experimental results show that the proposed method can suppress the error propagation in the 1/(1+D) decoder effectively, and achieves a similar performance as the full-state MLSE decoder, which has only 0.3-dB receiver sensitivity penalty compared to it. The statistic results of various transmission scenes indicate that the MRS-MLSE is activated to process lower than 3.74% of total symbols at the KP4-FEC threshold of 2.4x10(-4).
Keywords:
Decoding
Maximum likelihood estimation
Symbols
Receivers
Precoding
Optical transmitters
Bandwidth
Error propagation
IM/DD
low complexity
MLSE
PRE

Journal

Journal of Lightwave Technology cover
Journal of Lightwave Technology
IF:
4.8
Papers:
1.7W
Citations:
3.8W

Organization

P
Peng Cheng Laboratory
Scholars:
1.7K
Papers: 1.7K
Citations: 2.0K