Belief Propagation Decoding of Short Graph-Based Channel Codes via Reinforcement Learning

IEEE Journal on Selected Areas in Information Theory(2021)

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摘要
In this work, we consider the decoding of short sparse graph-based channel codes via reinforcement learning (RL). Specifically, we focus on low-density parity-check (LDPC) codes, which for example have been standardized in the context of 5G cellular communication systems due to their excellent error correcting performance. LDPC codes are typically decoded via belief propagation on the correspondin...
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关键词
Decoding,Iterative decoding,Complexity theory,Processor scheduling,Computational modeling,Scheduling,Polar codes
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