Symbol interval optimization for molecular communication with drift
Na-Rae Kim, Andrew W. Eckford, Chan-Byoung Chae

TL;DR
This paper introduces an algorithm for optimizing symbol intervals in molecular communication with drift, balancing transmission speed and error rates, and evaluates performance in blood vessel models.
Contribution
It proposes a symbol interval optimization method considering ISI in blood vessels and introduces a no-ISI system for strong drift scenarios, applying IMoSK for rate calculations.
Findings
Optimized symbol intervals reduce ISI in molecular communication.
No-ISI system performs better under strong drift conditions.
Normalized achievable rates are compared between systems.
Abstract
In this paper, we propose a symbol interval optimization algorithm in molecular communication with drift. Proper symbol intervals are important in practical communication systems since information needs to be sent as fast as possible with low error rates. There is a trade-off, however, between symbol intervals and inter-symbol interference (ISI) from Brownian motion. Thus, we find proper symbol interval values considering the ISI inside two kinds of blood vessels, and also suggest no ISI system for strong drift models. Finally, an isomer-based molecule shift keying (IMoSK) is applied to calculate achievable data transmission rates (achievable rates, hereafter). Normalized achievable rates are also obtained and compared in one-symbol ISI and no ISI systems.
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 · Wireless Body Area Networks
