{"title":"Parameter Estimation for Energy-Efficient 1-bit Bi-Static ISAC Network","authors":"Puxi Yu;Dingyou Ma;Qixun Zhang;Zhiyong Feng","doi":"10.1109/TGCN.2026.3650899","DOIUrl":"https://doi.org/10.1109/TGCN.2026.3650899","url":null,"abstract":"The growing demand for robust, green, and wide-area sensing in applications like the low-altitude economy necessitates scalable, low-cost, and energy-efficient network architectures. To meet this need, this paper proposes a one-bit bi-static integrated sensing and communication (ISAC) system architecture designed to cover sensing blind spots in a cost-effective and energy-efficient manner. The system employs micro receiving nodes equipped with one-bit analog-to-digital converters to minimize hardware cost and power consumption. However, this design introduces the dual challenges: severe signal distortion from one-bit quantization and parameter ambiguity from clock asynchronism between the transmitter and receiver. These issues render conventional synchronization and parameter estimation methods ineffective. This paper presents a novel algorithm that directly tackles these challenges by processing the one-bit temporal data. Our method first estimates the direction of arrival (DOA) using the one-bit MUSIC algorithm, and leverages it to coherently accumulate signal energy in the spatial domain for each preamble. Aided by the DOA, a compressive sensing-based approach then estimates the combined delay and timing offset, followed by the extraction of the Doppler shift mixed with carrier frequency offset. By systematically processing these estimates, our algorithm obtains absolute target delays and relative Doppler shifts without requiring a dedicated reference path. The Cramér-Rao lower bound (CRLB) is derived, and simulations validate that the proposed method achieves high-accuracy parameter estimation, i.e., the optimization result reaches the CRLB. In addition, simulation under practical settings illustrates that the sensing range is extended from 400 m to 900 m, increased by 125%, demonstrating the feasibility of low-cost, one-bit bi-static ISAC systems.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"1705-1719"},"PeriodicalIF":6.7,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Error Correction Technique for Product Codes Construction of PAC Codes","authors":"Heng Liu;Jin Sha","doi":"10.1109/TGCN.2026.3678370","DOIUrl":"https://doi.org/10.1109/TGCN.2026.3678370","url":null,"abstract":"High-rate product codes are widely employed in modern high-speed communication systems, and their performance is heavily dependent on their component codes. While polar codes are theoretically capacity-achieving, their error-correction performance degrades significantly at the finite blocklengths typical of product code applications. To address this limitation, we propose a novel product code construction based on Polarization-Adjusted Convolutional (PAC) codes, referred to as PAC product codes (PAC-PCs). Additionally, we design an improved two-step decoder for PAC-PC, which incorporates an effective error-localization strategy and an error-pattern matching mechanism to resolve complex decoding ambiguities. Furthermore, the decoder employs an adaptive early termination technique to reduce decoding latency and computational complexity, particularly at high signal-to-noise ratio (SNR), thereby improving energy efficiency. Simulation results demonstrate that the proposed PAC-PC significantly outperforms conventional polar product codes (Polar-PCs) in terms of error-correction performance. Compared to established iterative product codes and staircase codes, the proposed PAC-PC achieves a favorable trade-off between error-correction performance and complexity.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"2651-2665"},"PeriodicalIF":6.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanyan Guo;Liping Teng;Hua Chen;Wei Liu;Jinho Choi;Hing Cheung So
{"title":"A Residual Attention Root-MUSIC Network-Based DOA Estimator for Mixed Circular and Non-Circular Signals","authors":"Yanyan Guo;Liping Teng;Hua Chen;Wei Liu;Jinho Choi;Hing Cheung So","doi":"10.1109/TGCN.2026.3694087","DOIUrl":"https://doi.org/10.1109/TGCN.2026.3694087","url":null,"abstract":"A joint source enumeration and direction-of-arrival (DOA) estimation method for mixed circular and non-circular signals based on a residual attention root-MUSIC network (RARN) is proposed by leveraging both the conjugated covariance and unconjugated covariance matrices of mixed signals with the circularity difference. The RARN consists of two sub-networks: Source Enumeration Network (SEN) and Angle Estimation Network (AEN). The SEN adopts a dual-branch structure and attention mechanisms to extract distinct features from both types of signals, ensuring the accuracy of multi-task learning. Additionally, using residual connections increases the depth of the network and improves its generalization ability. Meanwhile, AEN includes the conjugated covariance and unconjugated covariance matrix reconstruction blocks with the prior source number estimates from SEN, and utilizes the root-MUSIC block for DOA estimation. Simulation results show that RARN outperforms state-of-the-art algorithms in estimation accuracy and generalization ability, especially in scenarios with low signal-to-noise ratio or small number of snapshots.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"3020-3033"},"PeriodicalIF":6.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148003492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"F-CP-RALS Algorithm for Channel Estimation in RIS-Aided mmWave MIMO Systems","authors":"Ruiyan Du;Jiaqi Yue;Zhewen Xu;Fulai Liu","doi":"10.1109/TGCN.2026.3693090","DOIUrl":"https://doi.org/10.1109/TGCN.2026.3693090","url":null,"abstract":"Accurate channel estimation remains a pivotal challenge in reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems for next-generation wireless networks, particularly in dense urban scenarios where ultra-high data rates, massive connectivity, and seamless coverage are pursued. In this paper, a multiple Frobenius norms regularized alternating least squares (RALS) algorithm is proposed based on CANDECOMP/PARAFAC (CP) decomposition to jointly estimate all channel matrices, termed as F-CP-RALS. Firstly, the received signals from both cascaded and direct links are modeled as a third-order tensor based on a structured time-domain protocol, which inherently preserves the multi-dimensional channel structure and hidden space correlation. Subsequently, all links are jointly estimated by the proposed algorithm which can stabilize convergence and enhance noise suppression to improve estimation accuracy due to the additional regularization terms. Moreover, the algorithm utilizes an alternating iterative process to refine the channel matrices without turning off the RIS, thereby reducing the pilot overhead compared to methods that rely on separate estimations of direct and cascaded links. Additionally, a rigorous convergence analysis is conducted to guarantee algorithmic convergence, and the feasibility conditions are investigated by leveraging Kruskal’s uniqueness conditions, followed by a computational complexity analysis. Finally, experimental simulations confirm that the presented approach delivers more accurate estimation results than alternative methods.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"3048-3059"},"PeriodicalIF":6.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148003516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Resource Allocation in STAR-RIS-Assisted Multi-Cluster NOMA-SR Systems","authors":"Xiaorong Jing;Wanyu Li;Xiyuan Ren;Qing Xue;Chengchao Liang;Qianbin Chen","doi":"10.1109/TGCN.2026.3692589","DOIUrl":"https://doi.org/10.1109/TGCN.2026.3692589","url":null,"abstract":"With the rapid proliferation of Internet of Things (IoT) devices, symbiotic radio (SR)-based IoT networks face some critical challenges, including spectrum scarcity, low energy efficiency (EE), and limited coverage. To address these challenges, this paper proposes an efficient transmission model that integrates multi-cluster non-orthogonal multiple access (NOMA) with symbiotic radio (NOMA-SR), assisted by a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS). In the proposed model, the STAR-RIS adopts a time-switching protocol to coordinate the energy harvesting (EH) and backscatter communication phases of backscatter devices (BDs) within the multi-cluster NOMA. A corresponding frame structure is designed to enable joint EE optimization for both the primary and secondary systems. Subject to the minimum throughput requirements of the primary system and each BD, as well as the minimum EH demand of each BD, the system EE maximization problem is formulated as a non-convex fractional program with multiple constraints. To solve this problem, a resource allocation scheme combining the Dinkelbach method with block coordinate descent is developed. Specifically, the Dinkelbach method first converts the original problem into an equivalent yet more tractable optimization form, which is then decomposed into four subproblems. Each non-convex subproblem is subsequently transformed into a convex one via successive convex approximation, variable substitution, and semidefinite relaxation, and solved iteratively until convergence. Numerical results demonstrate that the proposed transmission model achieves EE improvements of 16.55%, 29.62%, 3.19%, and 74.01% over four benchmark schemes, respectively.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"3146-3161"},"PeriodicalIF":6.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148171764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xuejing Ma;Biao Wang;Wen Tian;Miao Du;Xufei Ding;Zhu Han
{"title":"AUV-Assisted Underwater Acoustic Green Covert Communication Dynamic Evolutionary Game Model in Internet of Underwater Things","authors":"Xuejing Ma;Biao Wang;Wen Tian;Miao Du;Xufei Ding;Zhu Han","doi":"10.1109/TGCN.2025.3622474","DOIUrl":"https://doi.org/10.1109/TGCN.2025.3622474","url":null,"abstract":"Underwater acoustic covert communication (UACC) is an important way to improve the security of sensitive data transmission in Internet of Underwater Things (IoUT). The detection of UACC is also rapidly developing with the advancement of sonar network technology, leading to the countermeasure of UACC becoming a research hotspot. Game theory, as an effective mathematical tool for describing UACC countermeasures, has been widely applied in static countermeasure research. However, the dynamic countermeasure of UACC is closer to the practical situation and needs more theoretical analysis. Therefore, we propose a dynamic game model for AUV-assisted UACC (AUACCDG) to study the dynamic countermeasure process between the AUV-assisted covert communication and detection groups. Specifically, we first establish a dynamic evolutionary game to describe the countermeasure process between the covert communicators and the detectors and then study the dynamic stability through the replicator dynamics (RD). Finally, we analyze the conditions for the existence of evolutionary stability strategies (ESS) in AUACCDG. Simulation results showed that our proposal can effectively improve the performance of UACC and obtain the higher energy efficiency compared to existing literature.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"1266-1278"},"PeriodicalIF":6.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148507458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Spatial TDMA-Based Medium Access Control Protocol for Underwater Acoustic Backscatter Networks","authors":"Alper Bereketli","doi":"10.1109/TGCN.2025.3598061","DOIUrl":"https://doi.org/10.1109/TGCN.2025.3598061","url":null,"abstract":"Underwater acoustic backscatter networks (UABN) constitute a promising communication paradigm, where battery-free nodes transmit data by modulating and reflecting a fraction of an incident carrier signal from an acoustic source, removing the network lifetime constraint due to depletion of batteries. Recently, solutions have been proposed for the deployment, coverage and link modeling problems in UABN. However, efficient data collection from the sensing region to multiple receivers further requires medium access control (MAC) among nodes. In this paper, a centralized MAC protocol, called <italic>UABN-MAC</i>, is proposed for low-latency and reliable data collection in multistatic UABN. UABN-MAC incorporates source-controlled TDMA and does not require time synchronization among nodes. In order to resolve contention among nodes, the source collects information about total propagation delays between itself and the receivers over all nodes. The delay information is gathered through source transmissions and receiver acknowledgment messages. The source uses the collected network information to group nodes into backscatter clusters for sensor data collection at the receivers. Performance evaluations show that UABN-MAC achieves feasible and scalable UABN operation in terms of slot duration, frame length, delay reduction, channel utilization, throughput, and packet delivery ratio. The analysis results also reveal that the protocol is robust against synchronization errors among the source and receivers.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"765-779"},"PeriodicalIF":6.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148507783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yimei Han;Haowen Yang;Shiying Shi;Miaomiao Zhu;Zhiquan Bai;Hongwu Liu
{"title":"Enhancing Covert Communication and Sensing for NOMA-ISAC Systems With ARIS-Assisted Cooperative Beamforming","authors":"Yimei Han;Haowen Yang;Shiying Shi;Miaomiao Zhu;Zhiquan Bai;Hongwu Liu","doi":"10.1109/TGCN.2026.3670061","DOIUrl":"https://doi.org/10.1109/TGCN.2026.3670061","url":null,"abstract":"Despite the significant advantages in multiple access and spectral efficiency, non-orthogonal multiple access (NOMA)-enabled integrated sensing and communication (ISAC) systems are prone to interception and privacy breaches as a result of broadcast characteristics of wireless channels. In this paper, we put forward an active reconfigurable intelligent surface (ARIS)-assisted cooperative beamforming to concurrently boost both the covert communication and sensing performance for a NOMA-enabled ISAC system. In the proposed scheme, both public NOMA signal and dual-functional artificial noise are superposed to shield covert NOMA transmissions. By intelligently reflecting superposed signals at the ARIS in addition to optimizing the transmit and receive beamforming at the base-station, the detectability of covert NOMA transmissions at the warden is effectively suppressed and the required radar output signal-to-noise ratio is guaranteed. The targeted covert rate maximization problem is highly non-convex comprising complicatedly coupled variables, which is efficiently solved via an alternating optimization framework combining majorization–minimization, fractional programming, and Lagrangian dual transformation. The simulation results show that compared with existing benchmark schemes, the proposed scheme significantly enhances the covert communication and sensing performance. Moreover, under imperfect channel state information, the proposed scheme maintains its performance advantage with strong robustness. The impacts of key system parameters on the covert communication and sensing performance are also revealed.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"2350-2364"},"PeriodicalIF":6.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148508581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MMSE Estimation Enabled Full-Duplex Ambient Backscatter Systems","authors":"B. Srikar Ranganath;Ribhu Chopra;Kumar Appaiah","doi":"10.1109/TGCN.2026.3695517","DOIUrl":"https://doi.org/10.1109/TGCN.2026.3695517","url":null,"abstract":"Ambient Backscatter Communication (AmBC) is a wireless communication technology that allows devices to communicate without the need for any active radio frequency (RF) components by modulating ambient RF signals from other active sources. However, like regular wireless communication systems, the performance of AmBC systems is contingent on the availability of accurate channel state information (CSI) at the receiver. In this paper, we present a novel iterative MMSE based channel estimation technique for full duplex AmBC systems with an efficient pilot utilization scheme. We then use these MMSE estimates to derive expressions for the rates achievable over all the links in the considered AmBC system. Finally, using extensive numerical simulations, validate our derived results and show that the proposed algorithm outperforms the state of the art machine learning based channel estimation algorithms considered in the literature.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"3076-3085"},"PeriodicalIF":6.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148508788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ben Niu;Chaojiang Liang;Zhihua Guo;Xinjun Wang;Xudong Zhao
{"title":"Attack Detection and Reconstruction for CPSs via an Improved T-N-L Observer and Zonotopic Analysis","authors":"Ben Niu;Chaojiang Liang;Zhihua Guo;Xinjun Wang;Xudong Zhao","doi":"10.1109/TGCN.2026.3708874","DOIUrl":"https://doi.org/10.1109/TGCN.2026.3708874","url":null,"abstract":"Safety-critical Cyber-Physical Systems (CPSs) are inherently vulnerable to malicious attacks. While detecting these attacks is crucial, handling practical unknown but bounded (UBB) disturbances without triggering conservative thresholds remains a significant challenge. To fill this gap, this paper investigates attack detection, reconstruction, and isolation for safety-critical CPSs under UBB disturbances. In order to represent complex nonlinear systems, the Takagi-Sugeno (T-S) fuzzy model is utilized. First, an improved T-N-L observer integrated with the <inline-formula> <tex-math>$H_{infty }$ </tex-math></inline-formula> technique is designed to estimate the system states. To improve estimation accuracy, we develop a decoupling approach that decouples the partial disturbance matrix, effectively attenuating the effect of disturbances on the error system. Second, compared to conventional observers, a strictly tighter interval estimation of the system state is derived through the reachability analysis of the error system. Based on this, an improved attack detection method using residual reachability analysis is proposed to bypass conservative thresholds and reduce computational complexity. Furthermore, the impact of disturbances and the error system on attack reconstruction and isolation is investigated. Finally, simulation results confirm the superiority of the proposed framework. In particular, the proposed method reduces the missed detection rate to 0%, compared with 4.84% for traditional methods, and significantly improves the reconstruction accuracy for both actuator and sensor attacks. For sensor attacks, it achieves an approximate 90.1% reduction in root mean square error (RMSE), while enabling zero-false-alarm isolation for T-S fuzzy systems.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"10 ","pages":"3485-3496"},"PeriodicalIF":6.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148509296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}