编解码算法仿真数据集

本数据集面向数据中心互联及中短距离大容量光传输系统的研究需求，重点聚焦于极化码与概率整形算法在高阶QAM调制下的性能增益与协同优化，旨在支撑相关编译码技术在高速光通信中的应用研究。 本数据集产自一项为验证编解码算法性能和系统可靠性而开展的系统仿真。该仿真使用基于系统极化编码结合概率整形的PS-64QAM和PS-256QAM信号在加性高斯白噪声（Additive White Gaussian Noise, AWGN）信道中传输，核心目的是在于验证编解码算法在不同参数和信道条件下的性能和传输系统可靠性。 数据集主要包含以下两类关键测量信息： 1.误码率（BER）数据：比较16至25dB的AWGN信道条件下PS256QAM与PS64QAM的硬判决与解码后的误码率，用于分析编解码算法性能； 2.信号比特：记录经过极化码编码以及概率整形后信号比特的分布。 整体数据规模约为300KB。This dataset is developed to meet the research requirements of data center interconnection and medium-short haul high-capacity optical transmission systems. It focuses on the performance gains and collaborative optimization of polar codes and probabilistic shaping algorithms under high-order QAM modulation, aiming to support the application research of related coding and decoding technologies in high-speed optical communications. This dataset is generated from a system-level simulation conducted to verify the performance of coding and decoding algorithms and system reliability. The simulation transmits PS-64QAM and PS-256QAM signals based on systematic polar coding combined with probabilistic shaping over an Additive White Gaussian Noise (AWGN) channel. Its core objective is to validate the performance of coding and decoding algorithms and the reliability of the transmission system under various parameter and channel conditions. The dataset mainly includes two types of key measurement information: 1. Bit Error Rate (BER) data: Compares the hard-decision and post-decoding BER of PS256QAM and PS64QAM under AWGN channel conditions with SNR ranging from 16 to 25 dB, for analyzing the performance of coding and decoding algorithms; 2. Signal bits: Records the distribution of signal bits after polar code encoding and probabilistic shaping. The total size of the dataset is approximately 300 KB.

搜集汇总

背景与挑战

背景概述

该数据集面向高速光通信系统的研究需求，聚焦于极化码与概率整形算法在高阶QAM调制下的性能验证与优化。数据集包含误码率数据和信号比特分布，产自AWGN信道下的系统仿真，用于评估编解码算法性能与系统可靠性。