Decision-Feedback Detection for Bidirectional Molecular Relaying with Direct Links

TL;DR

This paper introduces a decision-feedback detection strategy for bidirectional molecular communication that leverages direct links and network coding to improve error performance by mitigating inter-symbol interference.

Contribution

It proposes a novel detection method that combines direct and relay signals using maximum-likelihood principles and decision feedback to enhance molecular communication reliability.

Findings

Significant error performance improvement with direct link utilization

Effective ISI mitigation through decision feedback

Enhanced detection accuracy over conventional schemes

Abstract

In this paper, we consider bidirectional relaying between two diffusion-based molecular transceivers (bio-nodes). As opposed to existing literature, we incorporate the effect of direct diffusion links between the nodes and leverage it to improve performance. Assuming network coding type operation at the relay, we devise a detection strategy, based on the maximum-likelihood principle, that combines the signal received from the relay and that received from the direct link. At the same time, since a diffusion-based molecular communication channel is characterized by high inter-symbol interference (ISI), we utilize a decision feedback mechanism to mitigate its effect. Simulation results indicate that the proposed setup incorporating the direct link can achieve notable improvement in error performance over conventional detection schemes that do not exploit the direct link and/or do not attempt to mitigate the effect of ISI.