zyy341 / MIMO_JCESD

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

Home Page:https://arxiv.org/abs/2303.03678

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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", arxiv:2303.03678

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

https://arxiv.org/abs/2303.03678

License:MIT License


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