A Low-Complexity Receiver-Side Lookup Table Equalization Method for High-Speed Short-Reach IM/DD Transmission Systems

In this paper, we demonstrate a receiver-side lookup table (Rx-side LUT) equalization method for high-speed short-reach intensity modulation and direct detection (IM/DD) transmission systems, which alleviates the computational complexity of neural network-based equalization algorithms. Compared to conventional pre-equalization techniques applied at the transmitter side, which utilize distortion correction values stored in LUTs derived from the transmitted symbols and their corresponding recovered counterparts, the Rx-side LUT relies solely on receiver-side data. The received data to be equalized serves as the index of the LUT, with a nearest-neighbor algorithm employed to find the element closest to the index and then return the corresponding equalization result from the table. With a lightweight lookup process, the proposed method releases the computation complexity of neural network-based equalization algorithms by replacing the computationally intensive operations performed during the inference phase. Experimental results indicate that compared to baseline fully connected neural network (FCNN) and gated recurrent unit (GRU) equalization, the Rx-side LUT could decrease the algorithm execution time by 25.5% and 34.6% for 100 GBaud and 22.8% and 36.9% for 112 GBaud PAM4 signals, respectively, while maintaining comparable system performance. The proposed scheme provides a low-complexity solution for high-speed, low-cost IM/DD optical interconnects.

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Publication Details

Journal
Photonics
Published
2025-11-06
DOI
https://doi.org/10.3390/photonics12111091
Primary Topic
Advancements in PLL and VCO Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A Low-Complexity Receiver-Side Lookup Table Equalization Method for High-Speed Short-Reach IM/DD Transmission Systems

Jian‐Yu Shi, Jian Sun, Guo-Wei Lu, Jun Qin et al.
Photonics
Advancements in PLL and VCO Technologies
article

A Low-Complexity Receiver-Side Lookup Table Equalization Method for High-Speed Short-Reach IM/DD Transmission Systems

Jian‐Yu Shi, Jian Sun, Guo-Wei Lu, Jun Qin, Jie Shi, Shuo Jiang, L. F. Chen, Changhao Han, Yang Yang, Sun Yu, Chi Zhang, Jiaxin Zheng, Yueqin Li, Junde Lu
article en

Abstract

In this paper, we demonstrate a receiver-side lookup table (Rx-side LUT) equalization method for high-speed short-reach intensity modulation and direct detection (IM/DD) transmission systems, which alleviates the computational complexity of neural network-based equalization algorithms. Compared to conventional pre-equalization techniques applied at the transmitter side, which utilize distortion correction values stored in LUTs derived from the transmitted symbols and their corresponding recovered counterparts, the Rx-side LUT relies solely on receiver-side data. The received data to be equalized serves as the index of the LUT, with a nearest-neighbor algorithm employed to find the element closest to the index and then return the corresponding equalization result from the table. With a lightweight lookup process, the proposed method releases the computation complexity of neural network-based equalization algorithms by replacing the computationally intensive operations performed during the inference phase. Experimental results indicate that compared to baseline fully connected neural network (FCNN) and gated recurrent unit (GRU) equalization, the Rx-side LUT could decrease the algorithm execution time by 25.5% and 34.6% for 100 GBaud and 22.8% and 36.9% for 112 GBaud PAM4 signals, respectively, while maintaining comparable system performance. The proposed scheme provides a low-complexity solution for high-speed, low-cost IM/DD optical interconnects.

PhotonicsVol. 12(11)
Kyushu University (JP), University of California, Santa Barbara (US), Beijing Information Science & Technology University (CN), Ministry of Industry and Information Technology (CN)
Peng Cheng Laboratory, National Natural Science Foundation of China, Beijing University of Posts and Telecommunications, Peking University
Openalex Percentile: Top 67%
Advancements in PLL and VCO Technologies
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