A Quantization-Aware DL-Based Channel Estimation Algorithm for OFDM Systems

This paper proposes a quantization-aware deep learning (DL)-based channel estimation algorithm for orthogonal frequency-division multiplexing (OFDM) systems under varying effective number of bits (ENOB) configurations. The algorithm addresses two key aspects: generalization in both channel condition...

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Detalles Bibliográficos

Principais autores:	Fabio D. L. Coutinho, Samuel S. Pereira, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2025-01-01
Series:	IEEE Access
Assuntos:	Channel estimation convolutional neural network DL ENOB OFDM OTA
Acceso en liña:	https://ieeexplore.ieee.org/document/11145033/
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