{"title":"A Low-Complexity Sensing-Aided Timing Synchronization Method for UAV-Assisted OFDM Systems","authors":"Chaojin Qing;Yuxin Huang;Qian Zhao;Qiuting Hu","doi":"10.1109/LWC.2025.3527638","DOIUrl":null,"url":null,"abstract":"The timing synchronization (TS) methods based on compressed sensing (CS) and machine learning (ML) in unmanned aerial vehicle (UAV)-assisted orthogonal frequency division multiplexing (OFDM) systems need to further enhance their TS correctness while also reducing computational complexity, due to the impact of time-frequency double-selective channel. To tackle this challenge, inspired by integrated sensing and communication (ISAC), a sensing-aided TS method is proposed for UAV-assisted OFDM systems. This method leverages the received echo signals at the ground base station (gBS) to establish a metric detection threshold for determining the number of resolvable paths. By leveraging the identified number, the identification of the inter-symbol interference (ISI)-free region is iteratively refined, featuring a low computational complexity. With the reduced computational complexity, simulation results indicate that compared to CS and ML-based TS methods, the proposed method significantly reduces the TS error probability and exhibits its robustness against parameter variations.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"14 3","pages":"911-915"},"PeriodicalIF":4.6000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10834811/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The timing synchronization (TS) methods based on compressed sensing (CS) and machine learning (ML) in unmanned aerial vehicle (UAV)-assisted orthogonal frequency division multiplexing (OFDM) systems need to further enhance their TS correctness while also reducing computational complexity, due to the impact of time-frequency double-selective channel. To tackle this challenge, inspired by integrated sensing and communication (ISAC), a sensing-aided TS method is proposed for UAV-assisted OFDM systems. This method leverages the received echo signals at the ground base station (gBS) to establish a metric detection threshold for determining the number of resolvable paths. By leveraging the identified number, the identification of the inter-symbol interference (ISI)-free region is iteratively refined, featuring a low computational complexity. With the reduced computational complexity, simulation results indicate that compared to CS and ML-based TS methods, the proposed method significantly reduces the TS error probability and exhibits its robustness against parameter variations.
期刊介绍:
IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.