Masked Neural Detection for Run-Length-Limited Channel Coding in Molecular Communication
Molecular communication (MC) suffers from severe diffusion memory because molecules released for one symbol may arrive during later symbol intervals. Neural sequence detectors, especially sliding bidirectional recurrent neural networks (SBRNNs), substantially outperform threshold detection in such channels. This raises a central question for MC channel coding: does a code whose superiority was established under threshold detection retain it when both coded and uncoded transmission are evaluated with neural detection? This letter answers this question for run-length-limited ISI-mitigation (RLIM) codes by proposing a decoder-aware training mask that removes the positions the RLIM decoder ha...
| Authors | Melih Şahin, Ozgur B. Akan |
|---|---|
| Primary category | cs.IT |
| Published | 10 June 2026 |
| Last updated at source | 6 September 2026 |
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