The Gaussian approximation in soft detection for molecular communication via biological circuits

Alessio Marcone, Massimiliano Pierobon, Maurizio Magarini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The programming of biological cells by genetic circuit engineering is enabling the development of man-made devices and systems in the biochemical environment, with applications in the areas of biomedicine, security, and environmental sensing and control, amongst others. The exchange of information through biochemical reactions and molecule transport, i.e., Molecular Communication (MC), stands as one of the foundational paradigms for the design and characterization of these systems. In a previous work, the same authors developed an analog soft decoder design for MC based on biological circuits inspired by the analog information processing in biochemical reactions. While such a design was optimized for an MC channel affected by Gaussian noise, realistic noise models in molecule transport processes and biochemical reactions tend to deviate from this assumption. In this paper, these models are discussed, together with the validity of their Gaussian approximations, in light of the performance of the log-likelihood ratio calculation of the aforementioned design, numerically evaluated through biochemical simulation. These models, which are directly derived from the theory of molecular diffusion and stochastic chemical reaction analysis, are formulated with a general validity with respect to any future MC system design based on biological circuits.

Original languageEnglish (US)
Title of host publication18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509030088
DOIs
StatePublished - Dec 19 2017
Event18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 - Sapporo, Japan
Duration: Jul 3 2017Jul 6 2017

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2017-July

Other

Other18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
CountryJapan
CitySapporo
Period7/3/177/6/17

Keywords

  • Biochemical simulation
  • Biological circuit
  • Diffusion channel
  • Langevin equation
  • Molecular communication
  • Poisson noise
  • Soft detection
  • Synthetic biology

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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  • Cite this

    Marcone, A., Pierobon, M., & Magarini, M. (2017). The Gaussian approximation in soft detection for molecular communication via biological circuits. In 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 (pp. 1-6). [8227764] (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 2017-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC.2017.8227764