Mutual Information and Noise Distributions of Molecular Signals Using Laser Induced Fluorescence

التفاصيل البيبلوغرافية
العنوان: Mutual Information and Noise Distributions of Molecular Signals Using Laser Induced Fluorescence
المؤلفون: Weiqiu Li, Lin Lin, Peter J. Thomas, Petr Denissenko, Iain White, Mahmoud Abbaszadeh, Weisi Guo
المصدر: GLOBECOM
بيانات النشر: IEEE, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Molecular communication, Statistical noise, Computer science, Noise (signal processing), Transmitter, 020206 networking & telecommunications, 02 engineering and technology, Mutual information, 021001 nanoscience & nanotechnology, Radio propagation, Transmission (telecommunications), Planar laser-induced fluorescence, 0202 electrical engineering, electronic engineering, information engineering, 0210 nano-technology, Biological system, Laser-induced fluorescence
الوصف: 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.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6829ac554a79ed482dc2a8e91aa682a4
https://doi.org/10.1109/globecom38437.2019.9013877
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........6829ac554a79ed482dc2a8e91aa682a4
قاعدة البيانات: OpenAIRE