{"title":"Silence-Based Multi-Type Hybrid Transmission Scheme for Mobile Molecular Communication System.","authors":"Nihit Bhatnagar, Aneerban Roy, Sandeep Joshi","doi":"10.1109/TNB.2025.3610622","DOIUrl":null,"url":null,"abstract":"<p><p>In this work, we consider a three-dimensional slow diffusive heterogeneous media-based mobile molecular communication (MC) system, with the communicating devices as point transmitters and passive spherical-shaped receiver nanomachines (NMs). For the considered slow diffusive MC system, we propose a time-varying stochastic diffusivity-based model for communicating devices and information-carrying molecules, and we characterize the mobile MC channel by the channel impulse response (CIR) and derive its mean. For the considered slow and stochastic diffusivity-based mobile MC system, we propose a novel silence-based multi-type hybrid transmission scheme, which combines communication through silence (CtS) with molecular shift keying (MoSK) and concentration shift keying (CSK) and we derive the closed-form expression for the average probability of error. For the slow diffusive environment, we compare the proposed transmission scheme with the position and concentration-based run-length aware, MoSK, and CSK transmission schemes. For the proposed silence-based multi-type hybrid and considered position and concentration-based run-length aware transmission schemes, we design their respective optimal threshold detectors. The proposed scheme outperforms and shows robust behavior in the presence of inter-symbol interference.</p>","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"PP ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on NanoBioscience","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1109/TNB.2025.3610622","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
In this work, we consider a three-dimensional slow diffusive heterogeneous media-based mobile molecular communication (MC) system, with the communicating devices as point transmitters and passive spherical-shaped receiver nanomachines (NMs). For the considered slow diffusive MC system, we propose a time-varying stochastic diffusivity-based model for communicating devices and information-carrying molecules, and we characterize the mobile MC channel by the channel impulse response (CIR) and derive its mean. For the considered slow and stochastic diffusivity-based mobile MC system, we propose a novel silence-based multi-type hybrid transmission scheme, which combines communication through silence (CtS) with molecular shift keying (MoSK) and concentration shift keying (CSK) and we derive the closed-form expression for the average probability of error. For the slow diffusive environment, we compare the proposed transmission scheme with the position and concentration-based run-length aware, MoSK, and CSK transmission schemes. For the proposed silence-based multi-type hybrid and considered position and concentration-based run-length aware transmission schemes, we design their respective optimal threshold detectors. The proposed scheme outperforms and shows robust behavior in the presence of inter-symbol interference.
期刊介绍:
The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).