Abstract: This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code design by ...
Abstract: It is usually assumed that for implementing the maximum a posteriori (MAP) decoding algorithm, saving all the state metrics is required. This memory requirement makes the MAP an impractical ...
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