A MIMO Detector With Deep-Neural-Network for Faster-Than-Nyquist Optical Wireless Communications

A MIMO Detector With Deep-Neural-Network for Faster-Than-Nyquist Optical Wireless Communications

Conventional multiple input multiple output (MIMO) detection algorithms face challenges related to computational complexity and limited performance when handling high-dimensional inputs and complex channel conditions. In order to enhance signal recovery accuracy in atmospheric turbulence channels fo...

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Bibliographic Details
Main Authors: Minghua Cao, Ruifang Yao, Qinxue Sun, Yue Zhang, Qing Yang, Huiqin Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Photonics Journal
Subjects:
Deep neural network
faster-than-nyquist
multiple input multiple output
optical wireless communication
Online Access:https://ieeexplore.ieee.org/document/10462083/

Internet

https://ieeexplore.ieee.org/document/10462083/

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