SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation

SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation

This paper presents a novel approach to Quadrature Amplitude Modulation (QAM) demodulation using neural networks, addressing the limitations of traditional demodulation techniques in complex channel conditions. Through systematic Neural Architecture Search and Hyper-parameter optimization, we develo...

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Bibliographic Details
Main Authors: Aravind R. Voggu, Kanish R, Nishith Akula, Lohitaksh Maruvada, Takanori Shimizu, Madhav Rao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
CNN
communication
FPGA
LLR
machine learning
multipath components
Online Access:https://ieeexplore.ieee.org/document/11071691/
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https://ieeexplore.ieee.org/document/11071691/

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