TY - GEN
T1 - Optimizing Information Transfer Through Chemical Channels in Molecular Communication
AU - Ratti, Francesca
AU - Harper, Colton
AU - Magarini, Maurizio
AU - Pierobon, Massimiliano
N1 - Funding Information:
This material is based upon work supported by the U.S. National Science Foundation under Grant No. CCF-1816969.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The optimization of information transfer through molecule diffusion and chemical reactions is one of the leading research directions in Molecular Communication (MC) theory. The highly nonlinear nature of the processes underlying these channels poses challenges in adopting analytical approaches for their information-theoretic modeling and analysis. In this paper, a novel iterative methodology is proposed to numerically estimate achievable information rates. Based on the Nelder-Mead optimization, this methodology does not necessitate analytical for-mulations of MC components and their stochastic behavior, and, when applied to well-known scenarios, it demonstrates consistent results with theoretical bounds and superior performance to prior literature. A numerical example that abstracts communications between genetically engineered cells via simulation is presented and discussed in light of possible future applications to support the design and engineering of realistic MC systems.
AB - The optimization of information transfer through molecule diffusion and chemical reactions is one of the leading research directions in Molecular Communication (MC) theory. The highly nonlinear nature of the processes underlying these channels poses challenges in adopting analytical approaches for their information-theoretic modeling and analysis. In this paper, a novel iterative methodology is proposed to numerically estimate achievable information rates. Based on the Nelder-Mead optimization, this methodology does not necessitate analytical for-mulations of MC components and their stochastic behavior, and, when applied to well-known scenarios, it demonstrates consistent results with theoretical bounds and superior performance to prior literature. A numerical example that abstracts communications between genetically engineered cells via simulation is presented and discussed in light of possible future applications to support the design and engineering of realistic MC systems.
KW - Achievable Information Rate
KW - Chemical Reaction Channel
KW - Diffusion Channel
KW - Iterative Algorithm
KW - Molecular Communication
KW - Mutual Information
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U2 - 10.1109/GLOBECOM46510.2021.9685247
DO - 10.1109/GLOBECOM46510.2021.9685247
M3 - Conference contribution
AN - SCOPUS:85127293134
T3 - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
BT - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
Y2 - 7 December 2021 through 11 December 2021
ER -