Signal detection and ISI cancellation for quantity-based amplitude modulation in diffusion-based molecular communications

Wei An Lin, Yen Chi Lee, Ping Cheng Yeh, Chia-Han Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

Diffusion-based molecular communications has becoming a promising approach for end-to-end communication between nano-machines. However, due to the randomness nature of molecule diffusions, the arriving time of each molecule is hard to predict and the late coming molecules will become a source of interference when doing detection. This effect will cause a severe degeneration of the system performance. Through our explorations, the conventional methods for mitigating the interference cannot be directly applied in these diffusion-based molecular communication environments. One of the main reasons is that the channel response is now time-variant. In this paper, we first apply Bayesian criterion to design an end-to-end communication system using quantity-based modulation (i.e. The information is imbedded in the number of molecules transmitted). Inspired by the idea of decision feedback in traditional communications, we propose an inter-symbol interference (ISI) cancellation approach. We also demonstrate the cancellation process based on our proposed quantity-based modulation system. Numerical results show that the proposed ISI cancellation method can help us achieve a reliable end-to-end transmission between nano-scale devices.

Original languageEnglish
Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
Pages4362-4367
Number of pages6
DOIs
StatePublished - 1 Dec 2012
Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
Duration: 3 Dec 20127 Dec 2012

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference2012 IEEE Global Communications Conference, GLOBECOM 2012
CountryUnited States
CityAnaheim, CA
Period3/12/127/12/12

Keywords

  • Bayesian criterion
  • Brownian motion
  • ISI cancellation
  • Molecular communications
  • diffusion
  • inter-symbol interference (ISI)

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