Title | ||
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Stochastic Channel Switching of Frequency-Encoded Signals in Molecular Communication Networks. |
Abstract | ||
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This letter investigates the impact of noise on the functionality of channel switches in molecular communication networks. The channel switches considered in this letter are designed based on a set of biological cells that propagate frequency-encoded Ca 2+ signals through gap junction channels. First, we develop a stochastic and generalized model of Ca 2+ signaling considering three types of noise, such as internal noise, external noise, and gating noise of gap junction channels. Second, we develop a method based on spectral analysis to determine whether cells extract information from frequency-encoded Ca 2+ signals. Third, we examine numerically whether channel switches propagate Ca 2+ signals to selected cells in the presence of noise, and show how noise degrades the performance of channel switches. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/LCOMM.2017.2768537 | IEEE Communications Letters |
Keywords | Field | DocType |
Junctions,Data mining,Calcium,Permeability,Mathematical model,Stochastic processes,Spectral analysis | External noise,Molecular communication,Gating,Computer science,Communication channel,Computer network,Stochastic process,Spectral analysis | Journal |
Volume | Issue | ISSN |
22 | 2 | 1089-7798 |
Citations | PageRank | References |
3 | 0.61 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Peng He | 1 | 23 | 3.50 |
tadashi nakano | 2 | 374 | 79.47 |
Yuming Mao | 3 | 125 | 19.13 |
Pietro Liò | 4 | 550 | 99.98 |
Qiang Liu | 5 | 25 | 4.20 |
Kun Yang | 6 | 2045 | 177.36 |