{"title":"QL-Based Adaptive Transceivers for the IoBNT Communications","authors":"Roya Khanzadeh;Stefan Angerbauer;Jorge Torres Gomez;Andreas Springer;Falko Dressler;Werner Haselmayr","doi":"10.1109/TMBMC.2024.3420749","DOIUrl":null,"url":null,"abstract":"This paper introduces an adaptive transceiver scheme for bio-nano things (NTs) situated within blood vessels communicating through a time-varying molecular channel. The proposed scheme employs a Q-learning-based adaptive transceiver (a so-called QL-ADT), wherein an agent gradually learns how to adapt the transmission parameters to the current state of the channel. A real heart rate dataset is used to estimate the blood flow velocities over time, based on which a time-varying molecular channel is modelled. In the practical implementation of the QL-ADT, an external gateway, situated on the skin, monitors the body’s heart rate over time and interfaces with the NTs through implantable nano devices. The gateway dynamically adjusts the communication parameters of the NTs based on the measured heart rate and what it has learned during the training phase. The proposed QL-ADT scheme showed significant improvement in the achievable raw bit rate (RBR) and error performance for a real heart rate dataset.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10577429","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/10577429/","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 paper introduces an adaptive transceiver scheme for bio-nano things (NTs) situated within blood vessels communicating through a time-varying molecular channel. The proposed scheme employs a Q-learning-based adaptive transceiver (a so-called QL-ADT), wherein an agent gradually learns how to adapt the transmission parameters to the current state of the channel. A real heart rate dataset is used to estimate the blood flow velocities over time, based on which a time-varying molecular channel is modelled. In the practical implementation of the QL-ADT, an external gateway, situated on the skin, monitors the body’s heart rate over time and interfaces with the NTs through implantable nano devices. The gateway dynamically adjusts the communication parameters of the NTs based on the measured heart rate and what it has learned during the training phase. The proposed QL-ADT scheme showed significant improvement in the achievable raw bit rate (RBR) and error performance for a real heart rate dataset.
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.