{"title":"ABER and outage probability of FSO systems under UAV-assisted symbol-level jamming over turbulent channels with pointing errors","authors":"Jingyu Wang , Dingshan Gao , Xinliang Zhang , Deqiang Ding","doi":"10.1016/j.phycom.2025.102820","DOIUrl":null,"url":null,"abstract":"<div><div>Free-space optical (FSO) communication systems are emerging as a viable technology for 6G, offering a compelling combination of cost-effective installation, high data throughput, extensive reach, and minimal latency. However, these systems are susceptible to potential intrusions, particularly jamming attacks, which pose a significant threat to their reliability and performance. We analyze the average bit error rate (ABER) and outage probability (OP) for phase-shift keying (BPSK)-modulated FSO systems under Unmanned Aerial Vehicle (UAV)-assisted jamming. The proposed system model includes both the legitimate and jamming channels, accounting for atmospheric turbulence (AT) and pointing errors (PE). The probability density functions (PDFs) of the signal-to-noise ratio (SNR), signal-to-jamming ratio (SJR), and signal-to-jamming-and-noise ratio (SJNR) are derived, which serve as the foundation for our ABER analysis. Closed-form expressions for the ABER and OP under BPSK modulation are derived for various jamming conditions, including coherent and non-coherent symbol-level jamming (SLJ), as well as noise jamming scenarios. Numerical analysis and Monte Carlo simulations are conducted to investigate the effects of AT and PE on system performance across various jamming conditions. Results indicate that AT in the legitimate channel significantly impacts system performance, with coherent SLJ yielding higher ABER than non-coherent SLJ. The phase difference between jamming and legitimate signals critically influences jamming effectiveness, where orthogonal phases minimize disruption. Furthermore, jamming signal pointing accuracy directly correlates with ABER degradation—higher precision induces elevated error rates. This study provides valuable insights for designing robust, jamming-resistant FSO systems.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"73 ","pages":"Article 102820"},"PeriodicalIF":2.2000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S187449072500223X","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Free-space optical (FSO) communication systems are emerging as a viable technology for 6G, offering a compelling combination of cost-effective installation, high data throughput, extensive reach, and minimal latency. However, these systems are susceptible to potential intrusions, particularly jamming attacks, which pose a significant threat to their reliability and performance. We analyze the average bit error rate (ABER) and outage probability (OP) for phase-shift keying (BPSK)-modulated FSO systems under Unmanned Aerial Vehicle (UAV)-assisted jamming. The proposed system model includes both the legitimate and jamming channels, accounting for atmospheric turbulence (AT) and pointing errors (PE). The probability density functions (PDFs) of the signal-to-noise ratio (SNR), signal-to-jamming ratio (SJR), and signal-to-jamming-and-noise ratio (SJNR) are derived, which serve as the foundation for our ABER analysis. Closed-form expressions for the ABER and OP under BPSK modulation are derived for various jamming conditions, including coherent and non-coherent symbol-level jamming (SLJ), as well as noise jamming scenarios. Numerical analysis and Monte Carlo simulations are conducted to investigate the effects of AT and PE on system performance across various jamming conditions. Results indicate that AT in the legitimate channel significantly impacts system performance, with coherent SLJ yielding higher ABER than non-coherent SLJ. The phase difference between jamming and legitimate signals critically influences jamming effectiveness, where orthogonal phases minimize disruption. Furthermore, jamming signal pointing accuracy directly correlates with ABER degradation—higher precision induces elevated error rates. This study provides valuable insights for designing robust, jamming-resistant FSO systems.
期刊介绍:
PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.
Topics of interest include but are not limited to:
Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.