Computationally Efficient Pre-Distortion based on Adaptive Partitioning Neural Network in Underwater Visible Light Communication

Hui Chen, Wenqing Niu, Guoqiang Li, Zhixue He, Junwen Zhang, N. Chi, Ziwei Li
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引用次数: 2

Abstract

We proposed a computationally efficient pre-distortion scheme based on adaptive partitioning neural network to mitigate nonlinear impairments in high-speed UVLC system. We demonstrated a 56.3% computational complexity reduction in 2.85Gbit/s 64QAM-CAP UVLC system. © 2022 The Author(s)
水下可见光通信中基于自适应划分神经网络的高效预失真算法
针对高速UVLC系统中的非线性损伤,提出了一种基于自适应划分神经网络的高效预失真方案。我们证明了在2.85Gbit/s 64QAM-CAP UVLC系统中计算复杂度降低了56.3%。©2022作者
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