research-article

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

Authors:

Muhammad Usman Riaz,

Chun Tung ChouAuthors Info & Claims

NANOCOM '18: Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication

Article No.: 12, Pages 1 - 6

https://doi.org/10.1145/3233188.3233192

Published: 05 September 2018 Publication History

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.

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Awan HBalasubramaniam SOdysseos A(2021)A Voxel Model to Decipher the Role of Molecular Communication in the Growth of Glioblastoma MultiformeIEEE Transactions on NanoBioscience10.1109/TNB.2021.307192220:3(296-310)Online publication date: Jul-2021
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Index Terms

Using spatial partitioning to reduce receiver signal variance in diffusion-based molecular communication
1. Computer systems organization
  1. Architectures
    1. Other architectures
      1. Molecular computing
2. Networks
  1. Network components
    1. Physical links

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cover image ACM Other conferences

NANOCOM '18: Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication

September 2018

210 pages

ISBN:9781450357111

DOI:10.1145/3233188

General Chairs:
Jon Atli Benediktsson
University of Iceland, Iceland
,
Falko Dressler
University of Paderborn, Germany

Copyright © 2018 ACM.

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Published: 05 September 2018

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NANOCOM '18

NANOCOM '18: ACM The Fifth Annual International Conference on Nanoscale Computing and Communication

September 5 - 7, 2018

Reykjavik, Iceland

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Cited By

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Awan HBalasubramaniam SOdysseos A(2021)A Voxel Model to Decipher the Role of Molecular Communication in the Growth of Glioblastoma MultiformeIEEE Transactions on NanoBioscience10.1109/TNB.2021.307192220:3(296-310)Online publication date: Jul-2021
https://doi.org/10.1109/TNB.2021.3071922
Awan HAdve RWallbridge NPlummer CEckford A(2021)Modeling the Role of Inter-Cellular Communication in Modulating Photosynthesis in PlantsIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2021.30717737:2(94-99)Online publication date: Jun-2021
https://doi.org/10.1109/TMBMC.2021.3071773
Awan HZeid KAdve RWallbridge NPlummer CEckford A(2020)Communication in Plants: Comparison of Multiple Action Potential and Mechanosensitive Signals With ExperimentsIEEE Transactions on NanoBioscience10.1109/TNB.2019.295128919:2(213-223)Online publication date: Apr-2020
https://doi.org/10.1109/TNB.2019.2951289
Riaz MHamdan AChou C(2020)Using Spatial Partitioning to Reduce the Bit Error Rate of Diffusion-Based Molecular CommunicationsIEEE Transactions on Communications10.1109/TCOMM.2020.296986168:4(2204-2220)Online publication date: Apr-2020
https://doi.org/10.1109/TCOMM.2020.2969861
Riaz MAwan HChou C(2019)Maximum a posteriori-based molecular circuit demodulators for spatially partitioned molecular communication receiversProceedings of the Sixth Annual ACM International Conference on Nanoscale Computing and Communication10.1145/3345312.3345462(1-6)Online publication date: 25-Sep-2019
https://dl.acm.org/doi/10.1145/3345312.3345462
Awan HChou C(2019)Molecular Communications With Molecular Circuit-Based Transmitters and ReceiversIEEE Transactions on NanoBioscience10.1109/TNB.2019.289222918:2(146-155)Online publication date: Apr-2019
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Awan HAdve RWallbridge NPlummer CEckford A(2019)Communication and Information Theory of Single Action Potential Signals in PlantsIEEE Transactions on NanoBioscience10.1109/TNB.2018.288092418:1(61-73)Online publication date: Jan-2019
https://doi.org/10.1109/TNB.2018.2880924

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