Information capacity of diffusion-based molecular communication in nanonetworks

Massimiliano Pierobon, Ian F. Akyildiz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

42 Scopus citations

Abstract

Molecular Communication (MC) is a promising bio-inspired paradigm in which molecules are transmitted, propagated and received between nanoscale machines. One of the main challenges is the theoretical study of the maximum achievable information rate (capacity). The objective of this paper is to provide a mathematical expression for the capacity in MC nanonetworks when the propagation of the information relies on the free diffusion of molecules. Solutions from statistical mechanics and thermodynamics are used to derive a closed-form expression for the capacity as function of physical parameters, such as the size of the system, the temperature and the number of molecules as well as of the bandwidth of the system and the transmitted power. An extremely high order of magnitude of the capacity numerical values demonstrates the enormous potential of the diffusion-based MC systems.

Original languageEnglish (US)
Title of host publication2011 Proceedings IEEE INFOCOM
Pages506-510
Number of pages5
DOIs
StatePublished - 2011
EventIEEE INFOCOM 2011 - Shanghai, China
Duration: Apr 10 2011Apr 15 2011

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

OtherIEEE INFOCOM 2011
CountryChina
CityShanghai
Period4/10/114/15/11

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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