/MIMO_JCESD

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

Primary LanguagePythonMIT LicenseMIT

MIMO_JCESD

Code for the paper

"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.