Asynchronous Peak Detection for Demodulation in Molecular Communication
Adam Noel, Andrew W. Eckford

TL;DR
This paper introduces two asynchronous peak detection algorithms for molecular communication receivers, improving error performance and robustness to timing offsets without requiring synchronization.
Contribution
It proposes two novel asynchronous peak detection variants, one with low complexity and another with decision feedback, enhancing detection performance in molecular communication.
Findings
First variant outperforms single-sample detection in error rate.
Second variant achieves performance comparable to energy detectors.
Both variants show improved resilience to timing offsets.
Abstract
Molecular communication requires low-complexity symbol detection algorithms to deal with the many sources of uncertainty that are inherent in these channels. This paper proposes two variants of a high-performance asynchronous peak detection algorithm for a receiver that makes independent observations. The first variant has low complexity and measures the largest observation within a sampling interval. The second variant adds decision feedback to mitigate inter-symbol interference. Although the algorithm does not require synchronization between the transmitter and receiver, results demonstrate that the bit error performance of symbol-by-symbol detection using the first variant is better than using a single sample whose sampling time is chosen a priori. The second variant is shown to have performance comparable to that of an energy detector. Both variants of the algorithm demonstrate…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMolecular Communication and Nanonetworks · Advanced biosensing and bioanalysis techniques · Quantum-Dot Cellular Automata
