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Found 3 papers, 1 papers with code
Precoding-oriented Massive MIMO CSI Feedback Design
Downlink massive multiple-input multiple-output (MIMO) precoding algorithms in frequency division duplexing (FDD) systems rely on accurate channel state information (CSI) feedback from users.
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding
In this paper, we use reinforcement learning to find effective decoding strategies for binary linear codes.
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation
As an example, for the (32, 16) Reed-Muller code with a highly redundant parity-check matrix, training a PAN with soft-BER loss gives near-maximum-likelihood performance assuming simple scaling with only three parameters.
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