j991222 / MIMO_JCESD

A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems

Home Page:https://www.sciencedirect.com/science/article/pii/S0165168424001737

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MIMO_JCESD

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"A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems", Signal Processing 223 (2024), 109554., [arxiv version]

We evaluate three DL methods: DeepRx, a lightweight DenseNet adapted to JCESD, and a new unrolled dynamics(UD) model called Hyper-WienerNet, which uses hypernetworks to estimate unknown parameters.

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A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems

https://www.sciencedirect.com/science/article/pii/S0165168424001737

License:MIT License


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