Online Regularization of Complex-Valued Neural Networks for Structure Optimization in Wireless-Communication Channel Prediction

Online Regularization of Complex-Valued Neural Networks for Structure Optimization in Wireless-Communication Channel Prediction

This article proposes online-learning complex-valued neural networks (CVNNs) to predict future channel states in fast-fading multipath mobile communications. CVNN is suitable for dealing with a fading communication channel as a single complex-valued entity. This framework makes it possible to realiz...

Full description

Bibliographic Details
Main Authors: Tianben Ding, Akira Hirose
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Adaptive communications
channel prediction
channel state information (CSI)
complex-valued neural network (CVNN)
fading
5G wireless communications (5G-NR)
Online Access:https://ieeexplore.ieee.org/document/9154677/

Internet

https://ieeexplore.ieee.org/document/9154677/

Similar Items