{"title":"3D Receiver for Molecular Communications in Internet of Organoids","authors":"Shaojie Zhang;Ozgur B. Akan","doi":"10.1109/TMBMC.2024.3522004","DOIUrl":null,"url":null,"abstract":"Organoids have garnered attention due to their effectiveness in modeling the 3D structure of organ interactions. However, the communication engineering perspective has received relatively little attention. One way to achieve organoids communication is molecular communication (MC). MC is a bio-inspired communication paradigm that uses molecules as information carriers. It is considered one of the most promising methods for enabling the Internet of Nano-Things (IoNT) and nanonetworks. BioFETs are commonly used to implement practical MC receivers. However, most previous analysis have focused on a planar device, neglecting considerations like the threshold voltage, inter-symbol interference (ISI) and its potential 3D structure. This paper introduces the first FinFET-based MC receiver that covers both the top and side gates with receptors. Both binding noise and flicker noise are considered in the analysis. The performance, in terms of signal-to-noise ratio (SNR) and symbol error probability (SEP), is compared with that of the 2D receiver.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"11 1","pages":"91-100"},"PeriodicalIF":2.4000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10812993/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Organoids have garnered attention due to their effectiveness in modeling the 3D structure of organ interactions. However, the communication engineering perspective has received relatively little attention. One way to achieve organoids communication is molecular communication (MC). MC is a bio-inspired communication paradigm that uses molecules as information carriers. It is considered one of the most promising methods for enabling the Internet of Nano-Things (IoNT) and nanonetworks. BioFETs are commonly used to implement practical MC receivers. However, most previous analysis have focused on a planar device, neglecting considerations like the threshold voltage, inter-symbol interference (ISI) and its potential 3D structure. This paper introduces the first FinFET-based MC receiver that covers both the top and side gates with receptors. Both binding noise and flicker noise are considered in the analysis. The performance, in terms of signal-to-noise ratio (SNR) and symbol error probability (SEP), is compared with that of the 2D receiver.
期刊介绍:
As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.