Mutual information and noise distributions of molecular signals using laser induced fluorescence
Mutual information and noise distributions of molecular signals using laser induced fluorescence
Information embedded in the fluid dynamic properties undergo stochastic behaviour when propagating from transmitter (Tx) to receiver (Rx). This is due to the high dimensionality and continuous dynamic forces of the environment, which erodes the achievable mutual information. Quantifying the statistical noise distribution and mutual information with respect to the key fluid dynamic parameters is important to molecular communication. Here, we empirically study macro- scale molecular signal propagation using a planar laser induced fluorescence (PLIF) method. We first statistically characterize both the additive and jitter noise distribution. We show that mutual information is maximized under certain transmission strategies and varies with the receiver size. The statistical results can benefit future studies to analyse the impact on communication reliability, and design superior modulation coding schemes.
molecular communication, experimentation, noise models, mutual information
Abbaszadeh, Mahmoud
594e03c0-a134-4b95-b1db-35171b8f0561
Li, Weiqiu
65efc684-cbe3-4a05-83c2-50af2733148d
Lin, Lin
6e9cb32f-f763-4775-a2e1-90bacf0d4830
White, Iain
623301b3-da01-49e7-92e1-6bd6c67620f7
Denissenko, Petr
77b045d3-8d47-4b24-8cee-6c4272f22bca
Thomas, Peter J.
e147321c-1bec-4acb-96a5-5871d01f773f
Guo, Weisi
8e0fb220-0bc2-4d70-8e68-ee7fbd6e7b01
2019
Abbaszadeh, Mahmoud
594e03c0-a134-4b95-b1db-35171b8f0561
Li, Weiqiu
65efc684-cbe3-4a05-83c2-50af2733148d
Lin, Lin
6e9cb32f-f763-4775-a2e1-90bacf0d4830
White, Iain
623301b3-da01-49e7-92e1-6bd6c67620f7
Denissenko, Petr
77b045d3-8d47-4b24-8cee-6c4272f22bca
Thomas, Peter J.
e147321c-1bec-4acb-96a5-5871d01f773f
Guo, Weisi
8e0fb220-0bc2-4d70-8e68-ee7fbd6e7b01
Abbaszadeh, Mahmoud, Li, Weiqiu, Lin, Lin, White, Iain, Denissenko, Petr, Thomas, Peter J. and Guo, Weisi
(2019)
Mutual information and noise distributions of molecular signals using laser induced fluorescence.
In 2019 IEEE Global Communications Conference (GLOBECOM).
IEEE..
(doi:10.1109/GLOBECOM38437.2019.9013877).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Information embedded in the fluid dynamic properties undergo stochastic behaviour when propagating from transmitter (Tx) to receiver (Rx). This is due to the high dimensionality and continuous dynamic forces of the environment, which erodes the achievable mutual information. Quantifying the statistical noise distribution and mutual information with respect to the key fluid dynamic parameters is important to molecular communication. Here, we empirically study macro- scale molecular signal propagation using a planar laser induced fluorescence (PLIF) method. We first statistically characterize both the additive and jitter noise distribution. We show that mutual information is maximized under certain transmission strategies and varies with the receiver size. The statistical results can benefit future studies to analyse the impact on communication reliability, and design superior modulation coding schemes.
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Published date: 2019
Keywords:
molecular communication, experimentation, noise models, mutual information
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Local EPrints ID: 445495
URI: http://eprints.soton.ac.uk/id/eprint/445495
PURE UUID: fe8f2d7f-9097-4585-8c3b-52b78473ae23
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Date deposited: 11 Dec 2020 17:30
Last modified: 16 Mar 2024 10:21
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Contributors
Author:
Weiqiu Li
Author:
Lin Lin
Author:
Iain White
Author:
Petr Denissenko
Author:
Peter J. Thomas
Author:
Weisi Guo
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