Higher Order Derivatives: Improved Pre-Processing and Receivers for Molecular Communications

Mustafa Can Gursoy, Urbashi Mitra

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

Abstract

Significant inter-symbol interference (ISI) challenges the achievement of reliable high data-rate molecular communication (MC) links. Inspired by recent results showing the ISI mitigation capability of pre-processing received signals by differentiation, the impact of using higher order derivatives is studied herein. The trade-off between ISI mitigation and noise amplification with higher order derivatives is characterized. Optimal maximum-likelihood sequence detection (MLSD) is investigated as well as low complexity banded MLSD to exploit the pulse narrowing induced by differentiation. Furthermore, analysis suggests the existence of an optimal derivative order. The bit error ratio (BER) for a fixed threshold detector is tightly approximated and employed to find the optimal derivative order. Numerical results confirm the aforementioned trade-off and show that reliable communication can be established using symbol durations considerably smaller than the peak time.

Original languageEnglish (US)
Title of host publication2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728182988
DOIs
StatePublished - Dec 2020
Externally publishedYes
Event2020 IEEE Global Communications Conference, GLOBECOM 2020 - Virtual, Taipei, Taiwan, Province of China
Duration: Dec 7 2020Dec 11 2020

Publication series

Name2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings

Conference

Conference2020 IEEE Global Communications Conference, GLOBECOM 2020
CountryTaiwan, Province of China
CityVirtual, Taipei
Period12/7/2012/11/20

Keywords

  • Diffusive molecular communications
  • MLSD
  • detector design
  • higher order derivatives
  • pre-processing
  • receiver design

ASJC Scopus subject areas

  • Media Technology
  • Modeling and Simulation
  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Safety, Risk, Reliability and Quality

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