A bitwise over-parameterized neural decoder for polar codes is introduced with explicit theoretical bounds on bit and block error rates derived via convergence analysis, local generalization, and Gaussian approximation under AWGN.
Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing,
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Bitwise Over-Parameterized Neural Polar Decoding: A Theoretical Performance Analysis
A bitwise over-parameterized neural decoder for polar codes is introduced with explicit theoretical bounds on bit and block error rates derived via convergence analysis, local generalization, and Gaussian approximation under AWGN.