An Experimentally Validated Channel Model for Molecular Communication Systems

Na Rae Kim, Nariman Farsad, Changmin Lee, Andrew W. Eckford, Chan Byoung Chae

Research output: Contribution to journalArticle

Abstract

In this paper, we present an experimentally validated end-to-end channel model for molecular communication systems with metal-oxide sensors. In particular, we focus on the recently developed tabletop molecular communication platform. Unlike previous work, this paper separates the system into two parts-the propagation and the sensing. Based on this separation, a more realistic channel model is derived. The coefficients in the derived models are estimated using a large collection of experimental data. It is shown how the coefficients change as a function of different system parameters such as distance, spraying duration, and an initial condition. Finally, a noise model is derived for the system to complete an end-to-end system model for the tabletop platform that can be utilized with various system variables. Using this new channel model, we propose a multi-level modulation technique that represents different symbols with different spraying durations while still providing more feasibility and less computational complexity in practice.

Original languageEnglish
Article number8746073
Pages (from-to)81849-81858
Number of pages10
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

Communication systems
Spraying
Oxides
Computational complexity
Metals
Modulation
Communication
Sensors

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

Kim, Na Rae ; Farsad, Nariman ; Lee, Changmin ; Eckford, Andrew W. ; Chae, Chan Byoung. / An Experimentally Validated Channel Model for Molecular Communication Systems. In: IEEE Access. 2019 ; Vol. 7. pp. 81849-81858.
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An Experimentally Validated Channel Model for Molecular Communication Systems. / Kim, Na Rae; Farsad, Nariman; Lee, Changmin; Eckford, Andrew W.; Chae, Chan Byoung.

In: IEEE Access, Vol. 7, 8746073, 01.01.2019, p. 81849-81858.

Research output: Contribution to journalArticle

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