An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics

Ian F. Akyildiz, Massimiliano Pierobon, Sasitharan Balasubramaniam

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Over the past 10 years, molecular communication (MC) has established itself as a key transformative paradigm in communication theory. Inspired by chemical communications in biological systems, the focus of this discipline is on the modeling, characterization, and engineering of information transmission through molecule exchange, with immediate applications in biotechnology, medicine, ecology, and defense, among others. Despite a plethora of diverse contributions, which has been published on the subject by the research community, a general framework to study the performance of MC systems is currently missing. This paper aims at filling this gap by providing an analysis of the physical processes underlying MC, along with their information-theoretic underpinnings. In particular, a mathematical framework is proposed to define the main functional blocks in MC, supported by general models from chemical kinetics and statistical mechanics. In this framework, the Langevin equation is utilized as a unifying modeling tool for molecule propagation in MC systems, and as the core of a methodology to determine the information capacity. Diverse MC systems are classified on the basis of the processes underlying molecule propagation, and their contribution in the Langevin equation. The classifications and the systems under each category are as follows: random walk (calcium signaling, neuron communication, and bacterial quorum sensing), drifted random walk (cardiovascular system, microfluidic systems, and pheromone communication), and active transport (molecular motors and bacterial chemotaxis). For each of these categories, a general information capacity expression is derived under simplifying assumptions and subsequently discussed in light of the specific functional blocks of more complex MC systems. Finally, in light of the proposed framework, a roadmap is envisioned for the future of MC as a discipline.

Original languageEnglish (US)
Article number8768452
Pages (from-to)1230-1255
Number of pages26
JournalProceedings of the IEEE
Volume107
Issue number7
DOIs
StatePublished - Jul 2019

Fingerprint

Statistical mechanics
Communication systems
Communication
Channel capacity
Molecules
Cardiovascular system
Information theory
Biological systems
Ecology
Biotechnology
Microfluidics
Reaction kinetics
Neurons
Medicine
Calcium

Keywords

  • Fokker-Planck equation
  • Langevin equation
  • Poisson noise
  • information capacity
  • molecular communication (MC)
  • nanonetworks
  • statistical mechanics

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics. / Akyildiz, Ian F.; Pierobon, Massimiliano; Balasubramaniam, Sasitharan.

In: Proceedings of the IEEE, Vol. 107, No. 7, 8768452, 07.2019, p. 1230-1255.

Research output: Contribution to journalArticle

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