{"title":"Characterization and Performance Optimization of Heterogeneous Media-Based Mobile Molecular Communication Systems","authors":"Nihit Bhatnagar;Sandeep Joshi","doi":"10.1109/TMBMC.2024.3496000","DOIUrl":null,"url":null,"abstract":"In this letter, we study a three-dimensional heterogeneous media-based mobile molecular communication (MC) system, with the communicating devices as point transmitters and passive spherical-shaped receiver nano-machines. For the shorter time range, the diffusion process faces internal diffusivity fluctuations, due to which communicating devices and the information-carrying molecule’s diffusivity exhibit stochastic behavior. We propose a stochastic diffusivity-based mobile MC system model, which considers the non-Gaussian Brownian displacement of molecules and characterize it by the channel impulse response, and derive its mean. We consider the molecule’s constrained time-varying Poisson statistical diffusive channel model at a high inter-symbol interference regime and analyze the channel performance in terms of the bit error rate and channel capacity. Furthermore, the numerical results are verified through particle-based simulations.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"11 1","pages":"128-133"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-11","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/10750277/","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
In this letter, we study a three-dimensional heterogeneous media-based mobile molecular communication (MC) system, with the communicating devices as point transmitters and passive spherical-shaped receiver nano-machines. For the shorter time range, the diffusion process faces internal diffusivity fluctuations, due to which communicating devices and the information-carrying molecule’s diffusivity exhibit stochastic behavior. We propose a stochastic diffusivity-based mobile MC system model, which considers the non-Gaussian Brownian displacement of molecules and characterize it by the channel impulse response, and derive its mean. We consider the molecule’s constrained time-varying Poisson statistical diffusive channel model at a high inter-symbol interference regime and analyze the channel performance in terms of the bit error rate and channel capacity. Furthermore, the numerical results are verified through particle-based simulations.
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.