MOL-eye: A new metric for the performance evaluation of a molecular signal

Meric Turan, Mehmet Sukru Kuran, H. Birkan Yilmaz, Chan Byoung Chae, Tuna Tugcu

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

5 Citations (Scopus)

Abstract

Inspired by the eye diagram in classical radio frequency (RF) based communications, the MOL-Eye diagram is proposed for the performance evaluation of a molecular signal within the context of molecular communication. Utilizing various features of this diagram, three new metrics for the performance evaluation of a molecular signal, namely the maximum eye height, standard deviation of received molecules, and counting SNR (CSNR) are introduced. The applicability of these performance metrics in this domain is verified by comparing the performance of binary concentration shift keying (BCSK) and BCSK with consecutive power adjustment (BCSK-CPA) modulation techniques in a vessel-like environment with laminar flow. The results show that, in addition to classical performance metrics such as biterror rate and channel capacity, these performance metrics can also be used to show the advantage of an efficient modulation technique over a simpler one.

Original languageEnglish
Title of host publication2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538617342
DOIs
Publication statusPublished - 2018 Jun 8
Event2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain
Duration: 2018 Apr 152018 Apr 18

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2018-April
ISSN (Print)1525-3511

Other

Other2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Country/TerritorySpain
CityBarcelona
Period18/4/1518/4/18

Bibliographical note

Funding Information:
This research was partially supported by the Scientific and Technical Research Council of Turkey (TUBITAK) under Grant number 116E916, the Basic Science Research Program (2016K2A9A1A06926542, 2017R1A1A1A05001439) through NRF of Korea, and by Generalitat de Catalunya of the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia via the Beatriu de Pinos program.

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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