Pub Date : 2024-09-04DOI: 10.1109/JRFID.2024.3453770
Omar Ansari;Hongzhi Guo
The advent of 6G wireless systems promises a digital world that blends physical and virtual elements, revolutionizing our interaction with the physical environment. A critical step towards this digital world is the creation of digital twins of physical systems and objects. The Internet of Things (IoT) plays an important role in connecting and monitoring these physical entities. However, connecting all objects in our daily life is challenging due to high density and large number of devices. Near Field Communication (NFC), utilizing High Frequency (HF) band signals, emerges as a promising solution. NFC has a short communication range and high penetration efficiency, with a reliable wireless channel that does not compete for spectrum with typical cellular and local area networks. Nevertheless, its extremely short range limits its use in autonomous IoT applications. This paper explores two techniques to extend NFC’s communication range and reliability: the use of high-quality factor transmit/receive coils and high-quality factor relay coils. Additionally, the effect of tag coil coupling in a multi-tag IoT environment is examined. Analytical models are developed to evaluate these approaches, and the results are validated using COMSOL Multiphysics. The findings demonstrate a significant increase in NFC’s communication range, i.e., up to 0.9 – 1.3 m for 1 – 10 W transmit power, making it suitable for ultra-dense battery-free IoT operations.
{"title":"Extending Near Field Communication Range for Ultra-Dense Internet of Things","authors":"Omar Ansari;Hongzhi Guo","doi":"10.1109/JRFID.2024.3453770","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3453770","url":null,"abstract":"The advent of 6G wireless systems promises a digital world that blends physical and virtual elements, revolutionizing our interaction with the physical environment. A critical step towards this digital world is the creation of digital twins of physical systems and objects. The Internet of Things (IoT) plays an important role in connecting and monitoring these physical entities. However, connecting all objects in our daily life is challenging due to high density and large number of devices. Near Field Communication (NFC), utilizing High Frequency (HF) band signals, emerges as a promising solution. NFC has a short communication range and high penetration efficiency, with a reliable wireless channel that does not compete for spectrum with typical cellular and local area networks. Nevertheless, its extremely short range limits its use in autonomous IoT applications. This paper explores two techniques to extend NFC’s communication range and reliability: the use of high-quality factor transmit/receive coils and high-quality factor relay coils. Additionally, the effect of tag coil coupling in a multi-tag IoT environment is examined. Analytical models are developed to evaluate these approaches, and the results are validated using COMSOL Multiphysics. The findings demonstrate a significant increase in NFC’s communication range, i.e., up to 0.9 – 1.3 m for 1 – 10 W transmit power, making it suitable for ultra-dense battery-free IoT operations.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"770-779"},"PeriodicalIF":2.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142383503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a novel Digital Traffic Engineers (DTEs) framework, leveraging Large Language Models (LLMs) to intelligently interpret human language and automate the creation of traffic control strategies. This advancement eliminates the need for manual scheme creation, reducing the workload of human traffic engineers (HTEs) and significantly improving the efficiency from requirement to control scheme generation. Experimental results in scenario understanding and traffic control underscore the potential of DTEs to effectively perform tasks traditionally managed by HTEs. This synergy between HTEs and DTEs not only streamlines traffic management processes but also paves the way for more adaptive, responsive, and environmentally friendly urban transportation solutions.
{"title":"Large Language Model-Powered Digital Traffic Engineers: The Framework and Case Studies","authors":"Xingyuan Dai;Yiqing Tang;Yuanyuan Chen;Xiqiao Zhang;Yisheng Lv","doi":"10.1109/JRFID.2024.3452473","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3452473","url":null,"abstract":"This paper presents a novel Digital Traffic Engineers (DTEs) framework, leveraging Large Language Models (LLMs) to intelligently interpret human language and automate the creation of traffic control strategies. This advancement eliminates the need for manual scheme creation, reducing the workload of human traffic engineers (HTEs) and significantly improving the efficiency from requirement to control scheme generation. Experimental results in scenario understanding and traffic control underscore the potential of DTEs to effectively perform tasks traditionally managed by HTEs. This synergy between HTEs and DTEs not only streamlines traffic management processes but also paves the way for more adaptive, responsive, and environmentally friendly urban transportation solutions.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"780-787"},"PeriodicalIF":2.3,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142450954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-28DOI: 10.1109/JRFID.2024.3451230
Sadeque Reza Khan;Anne L. Bernassau;Marc P. Y. Desmulliez
Passive radio-frequency identification (RFID) technology has recently been applied to many battery-free wireless medical and healthcare (WMH) applications including wearable and implantable medical devices. The presence of the human body near RFID devices creates, however, several challenges in terms of design, fabrication, and testing of such WMH devices. The use of comparatively unsecured wireless links enabled by RFID communication may also jeopardize patient’s privacy as well as raise ethical concerns. With these factors in mind, this article provides a systematic review spanning two decades of the wide range of passive RFID applications in medical and healthcare devices based on the classification of RFID frequency bands. The strengths and limitations of these techniques are benchmarked against each other using performance metrics such as communication distance, tissue safety, size of the devices, as well as patient’s privacy and ethical implications. The article concludes by discussing the future opportunities and challenges raised by passive RFID for battery-free WMH devices. This comprehensive literature review aims to become a point of reference for experts and non-experts in the field.
无源射频识别(RFID)技术最近已被应用于许多无电池无线医疗和保健(WMH)应用中,包括可穿戴和植入式医疗设备。然而,由于 RFID 设备附近存在人体,因此在此类 WMH 设备的设计、制造和测试方面带来了一些挑战。使用相对不安全的无线链路进行 RFID 通信还可能危及病人的隐私,并引发道德问题。考虑到这些因素,本文根据 RFID 频段的分类,对二十年来医疗和保健设备中广泛的无源 RFID 应用进行了系统回顾。文章采用通信距离、组织安全性、设备尺寸以及病人隐私和伦理影响等性能指标,对这些技术的优势和局限性进行了比较。文章最后讨论了无源射频识别技术为无电池 WMH 设备带来的未来机遇和挑战。这篇全面的文献综述旨在为该领域的专家和非专家提供参考。
{"title":"Passive and Battery-Free RFID-Based Wireless Healthcare and Medical Devices: A Review","authors":"Sadeque Reza Khan;Anne L. Bernassau;Marc P. Y. Desmulliez","doi":"10.1109/JRFID.2024.3451230","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3451230","url":null,"abstract":"Passive radio-frequency identification (RFID) technology has recently been applied to many battery-free wireless medical and healthcare (WMH) applications including wearable and implantable medical devices. The presence of the human body near RFID devices creates, however, several challenges in terms of design, fabrication, and testing of such WMH devices. The use of comparatively unsecured wireless links enabled by RFID communication may also jeopardize patient’s privacy as well as raise ethical concerns. With these factors in mind, this article provides a systematic review spanning two decades of the wide range of passive RFID applications in medical and healthcare devices based on the classification of RFID frequency bands. The strengths and limitations of these techniques are benchmarked against each other using performance metrics such as communication distance, tissue safety, size of the devices, as well as patient’s privacy and ethical implications. The article concludes by discussing the future opportunities and challenges raised by passive RFID for battery-free WMH devices. This comprehensive literature review aims to become a point of reference for experts and non-experts in the field.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"724-742"},"PeriodicalIF":2.3,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142152079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ambient backscatter communication (AmBC) systems with energy harvesting (EH) can achieve competitive data rates, making them a robust choice for Internet of Things (IoT) networks. In this case, channel characteristics are fundamental to the performance and efficiency of AmBC. However, the existing channel estimation methods are mostly considered in fixed scenarios, resulting in significant performance loss. Thus, in this work, we explore a backscatter relay system comprising a radio frequency (RF) source, mobile RFID tag, and reader. We propose two channel estimation schemes: Dynamic Least Squares (DLS) and Dynamic Minimum Mean Square Error (DMMSE) and derive the closed-form expression for achievable rate. By comparing analytical results for achievable rate and mean squared error (MSE) with the considered channel estimation schemes that incorporate variable input power and frequency, we can better understand the performance improvements and trade-offs. The numerical results show that AmBC using dynamic RC channel estimation schemes have a higher average achievable rate than conventional methods, and the DMMSE scheme performs better than the DLS scheme. Additionally, we achieve the optimal power and frequency corresponding to the optimal RC, which will significantly improve the performance of the AmBC system.
{"title":"Channel Estimation for Backscatter Relay System With Dynamic Reflection Coefficient","authors":"Yulin Zhou;Yang Zhang;Aziz Altaf Khuwaja;Qifei Zhang;Xianmin Zhang;Xiaonan Hui","doi":"10.1109/JRFID.2024.3449555","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3449555","url":null,"abstract":"Ambient backscatter communication (AmBC) systems with energy harvesting (EH) can achieve competitive data rates, making them a robust choice for Internet of Things (IoT) networks. In this case, channel characteristics are fundamental to the performance and efficiency of AmBC. However, the existing channel estimation methods are mostly considered in fixed scenarios, resulting in significant performance loss. Thus, in this work, we explore a backscatter relay system comprising a radio frequency (RF) source, mobile RFID tag, and reader. We propose two channel estimation schemes: Dynamic Least Squares (DLS) and Dynamic Minimum Mean Square Error (DMMSE) and derive the closed-form expression for achievable rate. By comparing analytical results for achievable rate and mean squared error (MSE) with the considered channel estimation schemes that incorporate variable input power and frequency, we can better understand the performance improvements and trade-offs. The numerical results show that AmBC using dynamic RC channel estimation schemes have a higher average achievable rate than conventional methods, and the DMMSE scheme performs better than the DLS scheme. Additionally, we achieve the optimal power and frequency corresponding to the optimal RC, which will significantly improve the performance of the AmBC system.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"743-747"},"PeriodicalIF":2.3,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-29DOI: 10.1109/JRFID.2024.3434642
Richard Fischbacher;Jose Romero Lopera;David Pommerenke;Ralph Prestros;Bernhard Auinger;Wolfgang Bösch;Jasmin Grosinger
This work presents, for the first time, a communication and power transfer analysis of interfering wireless power transfer (WPT) and near-field communication (NFC) systems. The communication analysis is conducted by investigating the NFC tag-to-reader communication quality in the digital baseband while being interfered with by WPT. The power transfer analysis is conducted by investigating the maximum power transferred and WPT efficiency $eta $