Abstract:Inter-symbol interference (ISI) with heteroscedastic (state-dependent) noise is a defining feature of molecular communication via diffusion (MCvD). However, such noise variance dependency across ISI states has not been systematically considered in prior detector designs. This letter introduces two decoding mechanisms, Belief-Adaptive Maximum A Posteriori (BA-MAP) and Soft BA-MAP, that explicitly incorporate state-dependent count means and variances of the molecular channel. The BA-MAP method derives per-symbol adaptive MAP thresholds based on the receiver's current state beliefs, whereas Soft BA-MAP computes mixture log-likelihood ratios by weighting all possible ISI states. Simulation and analyses confirm that the proposed detectors outperform conventional equalization and fixed-threshold methods, and approach ideal zero-decision-delay MAP detection with perfect ISI-state knowledge.
From: Erencem Ozbey [view email]
[v1]
Fri, 6 Mar 2026 14:08:59 UTC (507 KB)
[v2]
Mon, 3 Aug 2026 13:24:36 UTC (427 KB)
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。