Autoencoder Model for OFDM-based Optical Wireless Communication

Autoencoder Model for OFDM-based Optical Wireless Communication
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DOI:
10.1364/sppcom.2019.spt2e.3
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发表时间:
2019-07
期刊:
OSA Advanced Photonics Congress (AP) 2019 (IPR, Networks, NOMA, SPPCom, PVLED)
影响因子:
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通讯作者:
Priti G. Pachpande;Monette H. Khadr;Hesham Hussien;H. Elgala;D. Saha
Priti G. Pachpande;Monette H. Khadr;Hesham Hussien;H. Elgala;D. Saha
中科院分区:
其他
文献类型:
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作者:
Priti G. Pachpande;Monette H. Khadr;Hesham Hussien;H. Elgala;D. Saha

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实现了一种基于正交频分复用(OFDM)的无线光通信自编码器(AE)模型.符号错误性能证明了在OWC系统中使用神经网络(NN)和深度学习(DL)技术的可行性。
An orthogonal frequency division multiplexing (OFDM) based Autoencoder (AE) model for optical wireless communication (OWC) is implemented. Symbol-error performance demonstrates the viability of using neural networks (NNs) and deep learning (DL) techniques in OWC systems.