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Analyzing large-scale multiuser molecular communication via 3D stochastic geometry
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Deng, Yansha, Noel, Adam, Guo, Weisi, Nallanathan, Arumugam and Elkashlan, Maged (2017) Analyzing large-scale multiuser molecular communication via 3D stochastic geometry. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 3 (2). pp. 118-133. doi:10.1109/TMBMC.2017.2750145 ISSN 2332-7804 .
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Official URL: http://doi.org/10.1109/TMBMC.2017.2750145
Abstract
Information delivery using chemical molecules is an integral part of biology at multiple distance scales and has attracted recent interest in bioengineering and communication theory. Potential applications include cooperative networks with a large number of simple devices that could be randomly located (e.g., due to mobility). This paper presents the first tractable analytical model for the collective signal strength due to randomly-placed transmitters in a three-dimensional (3D) large-scale molecular communication system, either with or without degradation in the propagation environment. Transmitter locations in an unbounded and homogeneous fluid are modelled as a homogeneous Poisson point process. By applying stochastic geometry, analytical expressions are derived for the expected number of molecules absorbed by a fully-absorbing receiver or observed by a passive receiver. The bit error probability is derived under ON/OFF keying and either a constant or adaptive decision threshold. Results reveal that the combined signal strength increases proportionately with the transmitter density, and the minimum bit error probability can be improved by introducing molecule degradation. Furthermore, the analysis of the system can be generalized to other receiver designs and other performance characteristics in large-scale molecular communication systems.
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > QA Mathematics T Technology > T Technology (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Library of Congress Subject Headings (LCSH): | Nanotechnology, Stochastic geometry, Molecular communication (Telecommunication) | ||||||
Journal or Publication Title: | IEEE Transactions on Molecular, Biological and Multi-Scale Communications | ||||||
Publisher: | IEEE | ||||||
ISSN: | 2332-7804 | ||||||
Official Date: | 8 September 2017 | ||||||
Dates: |
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Volume: | 3 | ||||||
Number: | 2 | ||||||
Page Range: | pp. 118-133 | ||||||
DOI: | 10.1109/TMBMC.2017.2750145 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 10 April 2018 | ||||||
Date of first compliant Open Access: | 10 April 2018 | ||||||
Open Access Version: |
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