On the capacity-achieving input for additive inverse Gaussian channels

Hui Li, Dongning Guo

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

2 Scopus citations

Abstract

In a molecular communication system, molecules convey the information by traversing from the transmitter to the receiver through the medium, which is often liquid. The time for a molecule to travel a fixed distance according to Brownian motion with a constant drift has the inverse Gaussian distribution. Hence the molecular communication channel is modeled by an additive inverse Gaussian noise channel, the input of which is the release times of the molecules. This paper studies the capacity-achieving input distribution for such a channel, where the release time is subject to both peak and average constraints. Several properties of the capacity-achieving input are established. A numerical method for computing the optimal input distribution is developed. The result complements some existing bounds on the capacity of molecular channel.

Original languageEnglish (US)
Title of host publication2013 IEEE International Symposium on Information Theory, ISIT 2013
Pages1829-1833
Number of pages5
DOIs
StatePublished - Dec 19 2013
Event2013 IEEE International Symposium on Information Theory, ISIT 2013 - Istanbul, Turkey
Duration: Jul 7 2013Jul 12 2013

Other

Other2013 IEEE International Symposium on Information Theory, ISIT 2013
CountryTurkey
CityIstanbul
Period7/7/137/12/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

Fingerprint Dive into the research topics of 'On the capacity-achieving input for additive inverse Gaussian channels'. Together they form a unique fingerprint.

  • Cite this

    Li, H., & Guo, D. (2013). On the capacity-achieving input for additive inverse Gaussian channels. In 2013 IEEE International Symposium on Information Theory, ISIT 2013 (pp. 1829-1833). [6620543] https://doi.org/10.1109/ISIT.2013.6620543