Channel estimation using hybrid optimizer based recurrent neural network long short term memory for MIMO communications in 5G network

Channel estimation using hybrid optimizer based recurrent neural network long short term memory for MIMO communications in 5G network

Article Highlights Main objective of this work is efficient channel estimation using deep learning technique. Hybrid algorithms are used to optimize the performance of deep learning technique. This proposed technique outputs better MSE and BER.

Bibliographic Details
Main Authors: Lipsa Dash, Anand Sreekantan Thampy
Format: Article
Language:English
Published: Springer 2023-01-01
Series:SN Applied Sciences
Subjects:
Channel estimation
Deep learning
Recurrent neural network
Long short-term memory
Particle swarm optimization
Adam optimizer
Online Access:https://doi.org/10.1007/s42452-022-05253-z

Internet

https://doi.org/10.1007/s42452-022-05253-z

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