{"title":"On Error Rate Reduction in Sub-Diffusion-Based Mobile Molecular Communication","authors":"Nadezhda Briantceva;Lokendra Chouhan;Matteo Parsani;Mohamed-Slim Alouini","doi":"10.1109/TMBMC.2024.3522010","DOIUrl":null,"url":null,"abstract":"This work considers the sub-diffusive dynamics of information-carrying molecules (IM) within a molecular communication (MC) channel, focusing on the implementation of mobility at both the transmitter (TX) and receiver (RX) system components. To capture the essence of these complex movements, we derive the closed-form expressions for the absorption probability (AP), the first-passage-time density (FPTD), and the Cumulative Density Function (CDF). We also incorporate the Reed-Solomon (RS) coding technique to enhance communication performance. Through this integration, we analyze communication metrics such as mutual information and channel capacity. Moreover, we compare the bit error probability (BEP) with and without RS coding. The results provide a comprehensive view of the performance enhancements achieved by coding techniques in MC systems, leading to a more robust and efficient MC system.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"11 1","pages":"107-115"},"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/10813025/","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
This work considers the sub-diffusive dynamics of information-carrying molecules (IM) within a molecular communication (MC) channel, focusing on the implementation of mobility at both the transmitter (TX) and receiver (RX) system components. To capture the essence of these complex movements, we derive the closed-form expressions for the absorption probability (AP), the first-passage-time density (FPTD), and the Cumulative Density Function (CDF). We also incorporate the Reed-Solomon (RS) coding technique to enhance communication performance. Through this integration, we analyze communication metrics such as mutual information and channel capacity. Moreover, we compare the bit error probability (BEP) with and without RS coding. The results provide a comprehensive view of the performance enhancements achieved by coding techniques in MC systems, leading to a more robust and efficient MC system.
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.