{"title":"Modelling 1D Partially Absorbing Boundaries for Brownian Molecular Communication Channels","authors":"Caglar Koca, Ozgur B. Akan","doi":"arxiv-2402.15888","DOIUrl":null,"url":null,"abstract":"Molecular Communication (MC) architectures suffer from molecular build-up in\nthe channel if they do not have appropriate reuptake mechanisms. The molecular\nbuild-up either leads to intersymbol interference (ISI) or reduces the\ntransmission rate. To measure the molecular build-up, we derive analytic\nexpressions for the incidence rate and absorption rate for one-dimensional MC\nchannels where molecular dispersion obeys the Brownian Motion. We verify each\nof our key results with Monte Carlo simulations. Our results contribute to the\ndevelopment of more complicated models and analytic expressions to measure the\nmolecular build-up and the impact of ISI in MC.","PeriodicalId":501325,"journal":{"name":"arXiv - QuanBio - Molecular Networks","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Molecular Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2402.15888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Molecular Communication (MC) architectures suffer from molecular build-up in
the channel if they do not have appropriate reuptake mechanisms. The molecular
build-up either leads to intersymbol interference (ISI) or reduces the
transmission rate. To measure the molecular build-up, we derive analytic
expressions for the incidence rate and absorption rate for one-dimensional MC
channels where molecular dispersion obeys the Brownian Motion. We verify each
of our key results with Monte Carlo simulations. Our results contribute to the
development of more complicated models and analytic expressions to measure the
molecular build-up and the impact of ISI in MC.
分子通信(MC)架构如果没有适当的再吸收机制,就会受到信道内分子堆积的影响。分子集结要么导致符号间干扰(ISI),要么降低传输速率。为了测量分子堆积,我们推导出了分子弥散服从布朗运动的一维 MC 信道的入射率和吸收率的分析表达式。我们用蒙特卡罗模拟验证了每一个关键结果。我们的结果有助于开发更复杂的模型和解析表达式,以测量 MC 中的分子集聚和 ISI 的影响。