{"title":"用于 IoBNT 通信的基于 QL 的自适应收发器","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":"{\"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}","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
摘要
本文介绍了一种自适应收发器方案,适用于通过时变分子信道进行通信的血管内生物纳米物(NTs)。所提出的方案采用了基于 Q 学习的自适应收发器(即所谓的 QL-ADT),其中代理会逐渐学习如何根据信道的当前状态调整传输参数。实际心率数据集用于估算随时间变化的血流速度,并在此基础上建立时变分子信道模型。在 QL-ADT 的实际应用中,位于皮肤上的外部网关会监测人体随时间变化的心率,并通过植入式纳米装置与 NT 接口。网关根据测量到的心率和它在训练阶段学到的知识,动态调整 NT 的通信参数。所提出的 QL-ADT 方案在真实心率数据集的可实现原始比特率(RBR)和误差性能方面都有显著改善。
QL-Based Adaptive Transceivers for the IoBNT Communications
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.