Mol-Eye: A New Metric for the Performance Evaluation of a Molecular Signal

dc.contributor.author Turan, Meric
dc.contributor.author Kuran, Mehmet Sukru
dc.contributor.author Yilmaz, H. Birkan
dc.contributor.author Chae, Chan-Byoung
dc.contributor.author Tugcu, Tuna
dc.date.accessioned 2025-09-25T10:51:01Z
dc.date.available 2025-09-25T10:51:01Z
dc.date.issued 2018
dc.description Yilmaz, H. Birkan/0000-0002-4773-2028; en_US
dc.description.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 bit-error rate and channel capacity, these performance metrics can also be used to show the advantage of an efficient modulation technique over a simpler one. en_US
dc.description.sponsorship Scientific and Technical Research Council of Turkey (TUBITAK) [116E916]; Basic Science Research Program through NRF of Korea [2016K2A9A1A06926542, 2017R1A1A1A05001439]; Generalitat de Catalunya of the Secretariat for Universities; Research of the Ministry of Business and Knowledge of the Government of Catalonia via the Beatriu de Pinos program en_US
dc.description.sponsorship 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. en_US
dc.identifier.isbn 9781538617342
dc.identifier.issn 1525-3511
dc.identifier.uri https://hdl.handle.net/20.500.12573/4229
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof IEEE Wireless Communications and Networking Conference (WCNC) -- APR 15-18, 2018 -- Barcelona, SPAIN en_US
dc.relation.ispartofseries IEEE Wireless Communications and Networking Conference
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Molecular Communication en_US
dc.subject Nanonetworks en_US
dc.subject Communication via Diffusion en_US
dc.subject Vessel-Like Environments en_US
dc.subject Eye Diagram en_US
dc.title Mol-Eye: A New Metric for the Performance Evaluation of a Molecular Signal en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id Yilmaz, H. Birkan/0000-0002-4773-2028
gdc.author.wosid Yilmaz, H. Birkan/H-3410-2012
gdc.author.wosid Kuran, Mehmet/Msw-9525-2025
gdc.author.wosid Tugcu, Tuna/P-8350-2015
gdc.author.wosid Chae, Chan-Byoung/Aab-1386-2020
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Turan, Meric; Tugcu, Tuna] Bogazici Univ, Dept Comp Engn, NETLAB, Istanbul, Turkey; [Kuran, Mehmet Sukru] Abdullah Gul Univ, Dept Comp Engn, Kayseri, Turkey; [Yilmaz, H. Birkan] Univ Politecn Cataluna, Dept Telemat Engn, Barcelona, Spain; [Yilmaz, H. Birkan; Chae, Chan-Byoung] Yonsei Univ, Yonsei Inst Convergence Technol, Sch Integrated Technol, Seoul, South Korea en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.description.wosquality N/A
gdc.identifier.wos WOS:000435542400103
gdc.wos.citedcount 3
relation.isOrgUnitOfPublication 665d3039-05f8-4a25-9a3c-b9550bffecef
relation.isOrgUnitOfPublication.latestForDiscovery 665d3039-05f8-4a25-9a3c-b9550bffecef

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