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 $