Using spatial partitioning to reduce receiver signal variance in diffusion-based molecular communication

Muhammad Usman Riaz, Hamdan Awan, Chun Tung Chou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

This paper considers a diffusion-based molecular communication link assuming the receiver uses chemical reactions. When the signalling molecules reach the receiver, they react with the chemicals at the receiver to produce output molecules. We consider the number of output molecules over time as the output signal of the receiver. This output signal is stochastic because both diffusion and reactions are stochastic processes. If this output signal has high variance, then it can lead to degradation in communication performance. Inspired by the spatial partitioning of receptors in cell membrane, this paper investigates the effect of spatial partitioning on the variance of the output signal. By modelling the diffusion and reaction using linear noise approximation, we show that a spatially partitioned system gives a lower total output signal variance than one that does not use partitioning, especially in steady state.

Original languageEnglish
Title of host publicationProceedings of the 5th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2018
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)1450357113, 9781450357111
DOIs
Publication statusPublished - 05 Sep 2018
Externally publishedYes
Event5th ACM International Conference on Nanoscale Computing and Communication, ACM NanoCom 2018 - Reykjavik, Iceland
Duration: 05 Sep 201807 Sep 2018

Publication series

NameProceedings of the 5th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2018

Conference

Conference5th ACM International Conference on Nanoscale Computing and Communication, ACM NanoCom 2018
Country/TerritoryIceland
CityReykjavik
Period05/09/201807/09/2018

Keywords

  • Molecular communication
  • Molecular receiver
  • Signal variance
  • Spatial partitioning

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