Pub Date : 2026-01-23DOI: 10.1109/LCOMM.2026.3657403
Guanxing Zhang;He Wen;Jie Zhang
To address signal blockage challenges associated with the millimeter-wave (mmWave) band, we explore the potential of reconfigurable intelligent surfaces (RIS) to enhance performance of integrated sensing and communication (ISAC) systems. Unlike most studies assuming continuous phase control, we consider the more practical scenario of discrete phase-shifted RIS. Simulation results show that RIS in mmWave ISAC systems can mitigate blockage by building a virtual line-of-sight (LOS). Besides, we present the trade-off analysis of communication and radar performance using discrete phase-shifted RIS, comparing the continuous and discrete phase configurations in terms of mean square error (MSE) and normalized sideband power (NSP).
{"title":"Beamforming Design and Performance Analysis of Discrete Phase-Controlled RIS-Assisted mmWave ISAC Systems","authors":"Guanxing Zhang;He Wen;Jie Zhang","doi":"10.1109/LCOMM.2026.3657403","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3657403","url":null,"abstract":"To address signal blockage challenges associated with the millimeter-wave (mmWave) band, we explore the potential of reconfigurable intelligent surfaces (RIS) to enhance performance of integrated sensing and communication (ISAC) systems. Unlike most studies assuming continuous phase control, we consider the more practical scenario of discrete phase-shifted RIS. Simulation results show that RIS in mmWave ISAC systems can mitigate blockage by building a virtual line-of-sight (LOS). Besides, we present the trade-off analysis of communication and radar performance using discrete phase-shifted RIS, comparing the continuous and discrete phase configurations in terms of mean square error (MSE) and normalized sideband power (NSP).","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"972-976"},"PeriodicalIF":4.4,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Deep-learning-based Radio Frequency Fingerprint Identification (RFFI) leverages hardware-induced imperfections for device authentication. However, cross-receiver shifts induce category-dependent errors, and practical deployment is constrained by the trade-off between model complexity and latency. To address this, we propose a receiver-agnostic, multi-modal RFFI method that integrates Convolutional Neural Network (CNN)-derived spatial cues, Bidirectional Encoder Representations from Transformers (BERT)-based temporal modeling, and Carrier Frequency Offset (CFO) features. A two-stage knowledge distillation strategy transfers knowledge from a high-capacity Teacher (utilizing all modalities with 7.15M parameters) to a lightweight Student (utilizing only spatial and CFO features with 2.38M parameters). The Student operates without the computationally intensive BERT module during inference, achieving 66.7% parameter reduction. Under challenging cross-receiver conditions with a 9:3 receiver split, the Teacher achieves 88.77% accuracy, while the Distilled Student achieves 89.82% accuracy. The standalone Student without distillation achieves only 85.40%, demonstrating a + 4.42% improvement from cross-modal knowledge transfer. With 2.5 ms inference latency, the distilled model enables practical, receiver-agnostic RFFI deployment.
{"title":"Receiver-Agnostic Radio Frequency Fingerprint Identification Using BERT and Two-Stage Knowledge Distillation","authors":"Jiawen Shao;Zijiang Yang;Tiantian Tang;Chengcheng Liu;Yun Lin;Guan Gui","doi":"10.1109/LCOMM.2026.3656814","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3656814","url":null,"abstract":"Deep-learning-based Radio Frequency Fingerprint Identification (RFFI) leverages hardware-induced imperfections for device authentication. However, cross-receiver shifts induce category-dependent errors, and practical deployment is constrained by the trade-off between model complexity and latency. To address this, we propose a receiver-agnostic, multi-modal RFFI method that integrates Convolutional Neural Network (CNN)-derived spatial cues, Bidirectional Encoder Representations from Transformers (BERT)-based temporal modeling, and Carrier Frequency Offset (CFO) features. A two-stage knowledge distillation strategy transfers knowledge from a high-capacity Teacher (utilizing all modalities with 7.15M parameters) to a lightweight Student (utilizing only spatial and CFO features with 2.38M parameters). The Student operates without the computationally intensive BERT module during inference, achieving 66.7% parameter reduction. Under challenging cross-receiver conditions with a 9:3 receiver split, the Teacher achieves 88.77% accuracy, while the Distilled Student achieves 89.82% accuracy. The standalone Student without distillation achieves only 85.40%, demonstrating a + 4.42% improvement from cross-modal knowledge transfer. With 2.5 ms inference latency, the distilled model enables practical, receiver-agnostic RFFI deployment.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"942-946"},"PeriodicalIF":4.4,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the dual-function radar-communication (DFRC) system, due to variations in communication information, the matched filter output of each DFRC waveform exhibits distinct range sidelobe structures, referred as range sidelobe modulation (RSM), which will degrade the clutter cancellation performance and increase residual clutter energy after moving target indication (MTI) processing. To solve this problem, a localized mismatch filter (LMMF) design method is proposed in this letter. First, a joint weighted optimization problem in terms of sidelobe level (SLL), similarity, and signal-to-noise ratio (SNR) loss is formulated. Then, the LMMF design method based on the alternating direction method of multipliers (ADMM) is proposed, and its convergence and complexity are discussed. Finally, several numerical results are given to demonstrate the effectiveness of the proposed method.
{"title":"Localized Mismatch Filter Design for Dual-Function Radar-Communication Waveforms","authors":"Hao Tang;Yongjun Liu;Guisheng Liao;Xuchen Liu;Heming Wang;Xiaoyang Dong","doi":"10.1109/LCOMM.2026.3655560","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3655560","url":null,"abstract":"In the dual-function radar-communication (DFRC) system, due to variations in communication information, the matched filter output of each DFRC waveform exhibits distinct range sidelobe structures, referred as range sidelobe modulation (RSM), which will degrade the clutter cancellation performance and increase residual clutter energy after moving target indication (MTI) processing. To solve this problem, a localized mismatch filter (LMMF) design method is proposed in this letter. First, a joint weighted optimization problem in terms of sidelobe level (SLL), similarity, and signal-to-noise ratio (SNR) loss is formulated. Then, the LMMF design method based on the alternating direction method of multipliers (ADMM) is proposed, and its convergence and complexity are discussed. Finally, several numerical results are given to demonstrate the effectiveness of the proposed method.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"927-931"},"PeriodicalIF":4.4,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1109/LCOMM.2026.3655827
Mert İlgüy;Berna Özbek;Didier Le Ruyet
Reconfigurable intelligent surfaces (RIS) have emerged as an important technology for next-generation wireless networks by intelligently manipulating the wireless propagation environment. Beyond Diagonal RIS (BD-RIS) extends the traditional RIS architecture by allowing non-diagonal reflection matrices, enabling more flexible signal manipulation. Transmissive RIS (T-RIS), on the other hand, facilitates the transmission of signals through the metasurfaces. In this paper, we propose a novel design called transmissive BD-RIS (T-BD-RIS), which integrates the functionalities of BD-RIS and T-RIS to enhance the user data rate. We design an algorithm for the group connected (GC) configuration, which jointly optimizes the beamforming at the base station, the T-BD-RIS transmission matrix, and the receive combiner at the user side. The fully connected (FC) and single connected (SC) cases are special instances of the proposed generic GC design, obtained by an appropriate choice of the number of groups. We evaluate the performance of various schemes, demonstrating the potential of the proposed approach.
{"title":"On Group Connected Transmissive Beyond Diagonal RIS for MIMO Systems","authors":"Mert İlgüy;Berna Özbek;Didier Le Ruyet","doi":"10.1109/LCOMM.2026.3655827","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3655827","url":null,"abstract":"Reconfigurable intelligent surfaces (RIS) have emerged as an important technology for next-generation wireless networks by intelligently manipulating the wireless propagation environment. Beyond Diagonal RIS (BD-RIS) extends the traditional RIS architecture by allowing non-diagonal reflection matrices, enabling more flexible signal manipulation. Transmissive RIS (T-RIS), on the other hand, facilitates the transmission of signals through the metasurfaces. In this paper, we propose a novel design called transmissive BD-RIS (T-BD-RIS), which integrates the functionalities of BD-RIS and T-RIS to enhance the user data rate. We design an algorithm for the group connected (GC) configuration, which jointly optimizes the beamforming at the base station, the T-BD-RIS transmission matrix, and the receive combiner at the user side. The fully connected (FC) and single connected (SC) cases are special instances of the proposed generic GC design, obtained by an appropriate choice of the number of groups. We evaluate the performance of various schemes, demonstrating the potential of the proposed approach.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"947-951"},"PeriodicalIF":4.4,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1109/LCOMM.2026.3655158
Yuan Ai;Xidong Mu;Pengbo Si;Yuanwei Liu
This letter proposes a novel pinching antenna systems (PASS) enabled non-orthogonal multiple access (NOMA) multi-access edge computing (MEC) framework. An optimization problem is formulated to minimize the maximum task delay by optimizing offloading ratios, transmit powers, and pinching antenna (PA) positions, subject to constraints on maximum transmit power, user energy budgets, and minimum PA separation to mitigate coupling effects. To address the non-convex problem, a bisection search-based alternating optimization (AO) algorithm is developed, where each subproblem is iteratively solved for a given task delay. Numerical simulations demonstrate that the proposed framework significantly reduces the task delay compared to benchmark schemes.
{"title":"Delay Minimization in Pinching-Antenna-Enabled NOMA-MEC Networks","authors":"Yuan Ai;Xidong Mu;Pengbo Si;Yuanwei Liu","doi":"10.1109/LCOMM.2026.3655158","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3655158","url":null,"abstract":"This letter proposes a novel pinching antenna systems (PASS) enabled non-orthogonal multiple access (NOMA) multi-access edge computing (MEC) framework. An optimization problem is formulated to minimize the maximum task delay by optimizing offloading ratios, transmit powers, and pinching antenna (PA) positions, subject to constraints on maximum transmit power, user energy budgets, and minimum PA separation to mitigate coupling effects. To address the non-convex problem, a bisection search-based alternating optimization (AO) algorithm is developed, where each subproblem is iteratively solved for a given task delay. Numerical simulations demonstrate that the proposed framework significantly reduces the task delay compared to benchmark schemes.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"962-966"},"PeriodicalIF":4.4,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1109/LCOMM.2026.3655084
Jingjing Zhao;Qingyi Huang;Kaiquan Cai;Quan Zhou;Xidong Mu;Yuanwei Liu
A point-to-point movable element (ME) enabled reconfigurable intelligent surface (ME-RIS) communication system is investigated, where each element position can be flexibly adjusted to create favorable channel conditions. For maximizing the communication rate, an efficient ME position optimization approach is proposed. Specifically, by characterizing the cascaded channel power gain in an element-wise manner, the position of each ME is iteratively updated by invoking the successive convex approximation method. Numerical results unveil that: 1) proposed element-wise ME position optimization algorithm outperforms the standard gradient ascent algorithm (GAA) which is easily trapped in local optima and 2) ME-RIS significantly improves the communication rate compared to the conventional RIS with fixed-position elements.
{"title":"Movable-Element RIS-Aided Wireless Communications: An Element-Wise Position Optimization Approach","authors":"Jingjing Zhao;Qingyi Huang;Kaiquan Cai;Quan Zhou;Xidong Mu;Yuanwei Liu","doi":"10.1109/LCOMM.2026.3655084","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3655084","url":null,"abstract":"A point-to-point movable element (ME) enabled reconfigurable intelligent surface (ME-RIS) communication system is investigated, where each element position can be flexibly adjusted to create favorable channel conditions. For maximizing the communication rate, an efficient ME position optimization approach is proposed. Specifically, by characterizing the cascaded channel power gain in an element-wise manner, the position of each ME is iteratively updated by invoking the successive convex approximation method. Numerical results unveil that: 1) proposed element-wise ME position optimization algorithm outperforms the standard gradient ascent algorithm (GAA) which is easily trapped in local optima and 2) ME-RIS significantly improves the communication rate compared to the conventional RIS with fixed-position elements.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"967-971"},"PeriodicalIF":4.4,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-16DOI: 10.1109/LCOMM.2026.3651317
Qiyuan Li;Qin Huang
This letter introduces integrated interleaved (II) codes into product codes. In II codes, a shared redundancy check relationship protects the first-layer code, which helps correct errors that individual component codes cannot correct. Thus, this letter introduces integrated interleaving coding scheme to the component codes of the product code, enabling it to correct the minimum error patterns of the original product code. The simulation results show that this code outperforms existing schemes on both the binary erasure channel and the additive white Gaussian noise channel.
{"title":"Product Code With Integrated Interleaved Component Codes","authors":"Qiyuan Li;Qin Huang","doi":"10.1109/LCOMM.2026.3651317","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3651317","url":null,"abstract":"This letter introduces integrated interleaved (II) codes into product codes. In II codes, a shared redundancy check relationship protects the first-layer code, which helps correct errors that individual component codes cannot correct. Thus, this letter introduces integrated interleaving coding scheme to the component codes of the product code, enabling it to correct the minimum error patterns of the original product code. The simulation results show that this code outperforms existing schemes on both the binary erasure channel and the additive white Gaussian noise channel.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"897-901"},"PeriodicalIF":4.4,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-15DOI: 10.1109/LCOMM.2025.3650674
Gehan Sathsara Vithanage;Dushantha Nalin K. Jayakody;Ioannis Krikidis
In this work a receiver-centric waveform design technique for simultaneous wireless information and power transfer (SWIPT) is proposed, eliminating the traditional trade-off between energy harvesting (EH) efficiency and information transfer (IT) integrity. By injecting pulses into the receiver, the peak-to-average power ratio (PAPR) of the received signal is increased, using diode nonlinearity to enhance EH without affecting IT. Particle swarm optimization (PSO) is used to tune the pulse parameters to obtain the maximum harvest power under practical constraints. The Monte Carlo simulation results demonstrate superior EH performance compared to existing waveform optimization schemes. The method remains robust under common IT optimizations, such as selective mapping (SLM) and partial transmit sequence (PTS), confirming its compatibility and scalability for real-world SWIPT systems.
{"title":"Receiver-Centric Waveform Design: A New Frontier in SWIPT","authors":"Gehan Sathsara Vithanage;Dushantha Nalin K. Jayakody;Ioannis Krikidis","doi":"10.1109/LCOMM.2025.3650674","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3650674","url":null,"abstract":"In this work a receiver-centric waveform design technique for simultaneous wireless information and power transfer (SWIPT) is proposed, eliminating the traditional trade-off between energy harvesting (EH) efficiency and information transfer (IT) integrity. By injecting pulses into the receiver, the peak-to-average power ratio (PAPR) of the received signal is increased, using diode nonlinearity to enhance EH without affecting IT. Particle swarm optimization (PSO) is used to tune the pulse parameters to obtain the maximum harvest power under practical constraints. The Monte Carlo simulation results demonstrate superior EH performance compared to existing waveform optimization schemes. The method remains robust under common IT optimizations, such as selective mapping (SLM) and partial transmit sequence (PTS), confirming its compatibility and scalability for real-world SWIPT systems.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"932-936"},"PeriodicalIF":4.4,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To effectively capture the inherent near-field effects and spatial non-stationarity across extremely large antenna arrays (ELAAs), this letter develops a novel analytical channel model tailored for extremely large-scale multiple-input multiple-output (XL-MIMO) systems. In the proposed framework, spatial non-stationarity is first characterized using a 0-1 diagonal matrix, after which the composite XL-MIMO channel matrix is formulated as a linear combination of structured matrix components. Leveraging this representation, we perform a comprehensive performance analysis, evaluating key metrics including the downlink ergodic capacity, an efficiently computable upper bound derived from eigenvalue matrix, and the symbol error probability (SEP). The analysis demonstrates that the proposed scheme not only achieves performance comparable to benchmark methods but also substantially reduces computational complexity. Furthermore, the analysis reveals a pronounced performance degradation in the presence of increasing channel estimation errors.
{"title":"Performance Analysis for Extremely Large-Scale MIMO Communication Systems","authors":"Yingchen Le;Zhuxian Lian;Yajun Wang;Lin Ling;Chuanjin Zu;Bibo Zhang;Xiaopei Hua","doi":"10.1109/LCOMM.2026.3654136","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3654136","url":null,"abstract":"To effectively capture the inherent near-field effects and spatial non-stationarity across extremely large antenna arrays (ELAAs), this letter develops a novel analytical channel model tailored for extremely large-scale multiple-input multiple-output (XL-MIMO) systems. In the proposed framework, spatial non-stationarity is first characterized using a 0-1 diagonal matrix, after which the composite XL-MIMO channel matrix is formulated as a linear combination of structured matrix components. Leveraging this representation, we perform a comprehensive performance analysis, evaluating key metrics including the downlink ergodic capacity, an efficiently computable upper bound derived from eigenvalue matrix, and the symbol error probability (SEP). The analysis demonstrates that the proposed scheme not only achieves performance comparable to benchmark methods but also substantially reduces computational complexity. Furthermore, the analysis reveals a pronounced performance degradation in the presence of increasing channel estimation errors.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"917-921"},"PeriodicalIF":4.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-14DOI: 10.1109/LCOMM.2026.3654545
Wenqiang Shi;Hu Jin;Yingke Lei;Fei Teng;Jin Wang
The performance of specific emitter identification (SEI) techniques is often significantly degraded due to changes in the signal distribution of targets to be identified and the lack of labels in the data. To address the aforementioned issue, this letter proposes a SEI method based on adaptive wavelet decomposition and domain adversarial regularization (AWD2AR) for multiple cross-domain scenarios. Firstly, AWD2AR preprocesses all the received signals to obtain more separable feature representations. Subsequently, AWD2AR compels the target domain feature extractor to learn domain-invariant features. Meanwhile, a metric-based regularization term is utilized to ensure the correct matching of various classes within the domain, thereby enhancing the model’s performance on the target domain. Experimental results on different datasets demonstrate that AWD2AR outperforms the state-of-the-art algorithms in various cross-domain conditions. Furthermore, the rationality of AWD2AR has been validated through ablation experiment.
{"title":"AWD2AR: An Unsupervised Identification Framework for Specific Emitters in Diverse Cross-Domain Scenarios","authors":"Wenqiang Shi;Hu Jin;Yingke Lei;Fei Teng;Jin Wang","doi":"10.1109/LCOMM.2026.3654545","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3654545","url":null,"abstract":"The performance of specific emitter identification (SEI) techniques is often significantly degraded due to changes in the signal distribution of targets to be identified and the lack of labels in the data. To address the aforementioned issue, this letter proposes a SEI method based on adaptive wavelet decomposition and domain adversarial regularization (AWD2AR) for multiple cross-domain scenarios. Firstly, AWD2AR preprocesses all the received signals to obtain more separable feature representations. Subsequently, AWD2AR compels the target domain feature extractor to learn domain-invariant features. Meanwhile, a metric-based regularization term is utilized to ensure the correct matching of various classes within the domain, thereby enhancing the model’s performance on the target domain. Experimental results on different datasets demonstrate that AWD2AR outperforms the state-of-the-art algorithms in various cross-domain conditions. Furthermore, the rationality of AWD2AR has been validated through ablation experiment.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"957-961"},"PeriodicalIF":4.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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