Coding Performance Modeling for Short-Packet Communications

Wei Yang, Ying Wang, J. Soriaga, T. Ji, K. Mukkavilli
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引用次数: 2

Abstract

In this paper, an analytic model is developed to predict the performance of modern error correcting codes and modulation schemes over wireless channels with non-ideal channel estimation. The model is based on recent advances in finite- blocklength information theory, which provide accurate performance metrics for the transmission of short packets. We extend the finite-blocklength analysis to the more practical communication scenarios in 5G New Radio (NR) by modeling the impact of real- world modulation and demoulation, bit-interleaving, orthogonal frequency-division multiplexing (OFDM), and the time/frequency selective fading. Our model is also based on new analytic methods to model the performance loss of channel decoding due to channel estimation errors (also known as imperfect channel state information (CSI)). Link-level simulation results demonstrate that the proposed model have accuracy within a few tenths of a dB under a wide range of communication parameters.
短分组通信的编码性能建模
本文建立了一个分析模型来预测现代纠错码和调制方案在非理想信道估计下的性能。该模型基于有限块长度信息理论的最新进展,该理论为短数据包的传输提供了准确的性能指标。我们通过模拟现实世界的调制和解调、位交错、正交频分复用(OFDM)和时频选择性衰落的影响,将有限块长度分析扩展到5G新无线电(NR)中更实际的通信场景。我们的模型还基于新的分析方法来模拟由于信道估计错误(也称为不完全信道状态信息(CSI))而导致的信道解码的性能损失。链路级仿真结果表明,在较宽的通信参数范围内,该模型的精度在十分之一dB以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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