Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks

Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks

Abstract FBMC is a pivotal system in 5G, serving as a cornerstone for efficient use of available bandwidth while simultaneously meeting stringent requirements for high spectral efficiency. Notably, FBMC harnesses the power of multicarrier modulation (MC), a good alternative to orthogonal frequency d...

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Bibliographic Details
Main Authors: Rasha M. Al-Makhlasawy, Mayada Khairy, Walid El-Shafai
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
OFDM
FBMC
Channel estimation
Interference cancellation
Deep learning
And recurrent neural network
Online Access:https://doi.org/10.1186/s13634-023-01077-0

Internet

https://doi.org/10.1186/s13634-023-01077-0

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