Abstract-We investigate the risk of overestimating the performance gain when applying neural network based receivers in systems with pseudo random bit sequences or with limited memory depths, resulting in repeated short patterns. We show that with such sequences, a large artificial gain can be obtained which comes from pattern prediction rather than predicting or compensating the studied channel/phenomena.
In this paper, we discuss and present some recent advances in the field of error correcting codes and discuss their applicability for lightwave transmission systems. We introduce several classes of spatially coupled codes and discuss several design options for spatially coupled codes and show how rapidly decodable codes can be constructed by careful selection of the degree distribution. We confirm the good performance of some spatially coupled codes at very low bit error rates using an FPGA-based simulation. Finally, we compare all proposed schemes and show how spatially coupled Low-Density Parity-Check (LDPC) codes outperform conventional LDPC and polar codes with similar receiver complexity and memory requirements.
We investigate the feasibility of using hard-decision bit error rates or, alternatively, mutual information, both measured before a soft input forward error correction decoder, as a means to estimate performance after soft-decision decoding. Both methods are compared based on a large set of measurement data. We conclude that mutual information seems to be the more reliable measure to estimate soft-decision FEC performance.
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