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Stacked Denoising Autoencoder Enhanced Polar Codes Over Rayleigh Fading Channels
IEEE Wireless Communications Letters ( IF 6.3 ) Pub Date : 2020-03-01 , DOI: 10.1109/lwc.2019.2954907
Jianxiu Li , Wenchi Cheng

Polar codes, with low encoding/decoding complexity and capacity-achieving potential, have drawn much attention recently. It is very critical to study the impact of fading on polar codes implementation into wireless communications. Existing research works on polar codes over the fading channel use simplified fading channel models while further reducing the frame error rate is highly needed. In this letter, using the structure of polar codes we propose the deep learning based scheme for polar codes over Rayleigh fading channels. Simulation results verify that our proposed scheme can significantly decrease the frame error rate for polar codes over Rayleigh fading channels.

中文翻译:

瑞利衰落信道上的堆叠降噪自编码器增强极性码

Polar码具有较低的编解码复杂度和容量实现潜力,最近备受关注。研究衰落对无线通信中极化码实现的影响是非常关键的。现有的关于衰落信道极性码的研究工作使用简化的衰落信道模型,同时非常需要进一步降低帧错误率。在这封信中,我们使用极化码的结构提出了基于深度学习的基于瑞利衰落信道的极化码方案。仿真结果验证了我们提出的方案可以显着降低瑞利衰落信道上极化码的帧错误率。
更新日期:2020-03-01
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