Pub Date : 2024-07-29DOI: 10.1109/tccn.2024.3435877
Xiaodong Zhu, Zhen Liu, Yuzhong Shi, Xiaodong Tu
{"title":"Transmission Design for IRS-Aided MIMO Cognitive Radio Systems With Finite Alphabet Inputs and Imperfect CSI","authors":"Xiaodong Zhu, Zhen Liu, Yuzhong Shi, Xiaodong Tu","doi":"10.1109/tccn.2024.3435877","DOIUrl":"https://doi.org/10.1109/tccn.2024.3435877","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"44 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141794722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Cooperative Hierarchical Deep Reinforcement Learning Based Joint Sleep and Power Control in RIS-Aided Energy-Efficient RAN","authors":"Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci","doi":"10.1109/tccn.2024.3435850","DOIUrl":"https://doi.org/10.1109/tccn.2024.3435850","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"19 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141794724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-07-29DOI: 10.1109/tccn.2024.3435524
Chengsi Liang, Hongyang Du, Yao Sun, Dusit Niyato, Jiawen Kang, Dezong Zhao, Muhammad Ali Imran
{"title":"Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications","authors":"Chengsi Liang, Hongyang Du, Yao Sun, Dusit Niyato, Jiawen Kang, Dezong Zhao, Muhammad Ali Imran","doi":"10.1109/tccn.2024.3435524","DOIUrl":"https://doi.org/10.1109/tccn.2024.3435524","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"35 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141794797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-07-22DOI: 10.1109/tccn.2024.3431923
Youqiang Dong, Min Zhang, Xi Cheng, Hai Wang
{"title":"SCM-GNN: A Graph Neural Network-Based Multi-Antenna Spectrum Sensing in Cognitive Radio","authors":"Youqiang Dong, Min Zhang, Xi Cheng, Hai Wang","doi":"10.1109/tccn.2024.3431923","DOIUrl":"https://doi.org/10.1109/tccn.2024.3431923","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"344 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141754878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-07-22DOI: 10.1109/TCCN.2024.3431889
Ruoyan Ma;Jie Tang;Xiu Yin Zhang;Kai-Kit Wong;Jonathon A. Chambers
A symbiotic radio (SR) network is built to address the situations of limited spectrum and energy resources. Particularly, a hybrid SR network is proposed based on simultaneous wireless information and power transfer (SWIPT). Specifically, the backscatter devices (BDs) will have the capability to provide active communications for the primary receiver (PR) with the harvested energy from SWIPT. Within the network, the BDs and primary transmitter (PT) based transmissions will achieve symbiotic status. In detail, the whole network will operate in three phases, which are assisted by a reconfigurable intelligent surface (RIS). Further, an end-to-end S-parameter based model is introduced to reveal the hardware characteristics. Under these settings, a multi-objective problem with energy efficiency (EE) and sum rate maximization is proposed. Additionally, the constraints are related to the communication demands and physical restrictions. To resolve the problem, the $epsilon $ -constraint approach is utilized to transform it into a single-objective problem. Then the coupled variables are separated into three parts to allow an iterative solution. Specifically, an element-wise approach based on the Sherman-Morrison transformation is adopted to optimize the subproblem for RIS with the double-inverse form. Simulation results confirm the significance of the hardware features and the effectiveness of the proposed scheme.
共生无线电（SR）网络的建立是为了解决频谱和能源资源有限的问题。特别是提出了一种基于同步无线信息和功率传输（SWIPT）的混合 SR 网络。具体来说，反向散射设备（BD）将有能力利用从 SWIPT 采集的能量为主接收器（PR）提供主动通信。在网络中，基于 BD 和主发射器（PT）的传输将实现共生状态。具体来说，整个网络将在可重构智能表面（RIS）的辅助下分三个阶段运行。此外，还引入了基于 S 参数的端到端模型，以揭示硬件特性。在这些设置下，提出了一个能效（EE）和总速率最大化的多目标问题。此外，约束条件还与通信需求和物理限制有关。为了解决这个问题，我们采用了 $/epsilon $ 约束方法将其转化为单目标问题。然后将耦合变量分为三部分，以便进行迭代求解。具体来说，采用基于谢尔曼-莫里森变换的元素顺向方法，对具有双反形式的 RIS 子问题进行优化。仿真结果证实了硬件特征的重要性和所提方案的有效性。
{"title":"RIS-Assisted Hybrid Symbiotic Radio Network: From Practical End-to-End Model to Multi-Objective Optimization","authors":"Ruoyan Ma;Jie Tang;Xiu Yin Zhang;Kai-Kit Wong;Jonathon A. Chambers","doi":"10.1109/TCCN.2024.3431889","DOIUrl":"10.1109/TCCN.2024.3431889","url":null,"abstract":"A symbiotic radio (SR) network is built to address the situations of limited spectrum and energy resources. Particularly, a hybrid SR network is proposed based on simultaneous wireless information and power transfer (SWIPT). Specifically, the backscatter devices (BDs) will have the capability to provide active communications for the primary receiver (PR) with the harvested energy from SWIPT. Within the network, the BDs and primary transmitter (PT) based transmissions will achieve symbiotic status. In detail, the whole network will operate in three phases, which are assisted by a reconfigurable intelligent surface (RIS). Further, an end-to-end S-parameter based model is introduced to reveal the hardware characteristics. Under these settings, a multi-objective problem with energy efficiency (EE) and sum rate maximization is proposed. Additionally, the constraints are related to the communication demands and physical restrictions. To resolve the problem, the \u0000<inline-formula> <tex-math>$epsilon $ </tex-math></inline-formula>\u0000-constraint approach is utilized to transform it into a single-objective problem. Then the coupled variables are separated into three parts to allow an iterative solution. Specifically, an element-wise approach based on the Sherman-Morrison transformation is adopted to optimize the subproblem for RIS with the double-inverse form. Simulation results confirm the significance of the hardware features and the effectiveness of the proposed scheme.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1730-1743"},"PeriodicalIF":7.4,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141755103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-07-16DOI: 10.1109/tccn.2024.3429380
Fereidoun H. Panahi, Farzad H. Panahi
{"title":"Cellular Coverage Extension Using an Intelligent FSO-Based UAV: An Energy and Spectral Efficient Approach","authors":"Fereidoun H. Panahi, Farzad H. Panahi","doi":"10.1109/tccn.2024.3429380","DOIUrl":"https://doi.org/10.1109/tccn.2024.3429380","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"1 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-07-16DOI: 10.1109/TCCN.2024.3429375
Zhaoxi Wen;Mingqian Liu;Yunfei Chen;Nan Zhao;Arumugam Nallanathan;Xiaoniu Yang
Symbiotic chirp-ultra wide bandwidth (UWB) radio system (SCURS) is a UWB radio system with the symbiosis of linear frequency modulation (LFM) and orthogonal frequency division multiplexing (OFDM) signals. It has a high data rate and can transmit data on two channels simultaneously. Moreover, multi-component LFM (MCLFM) parameter estimation plays an important role in the demodulation of SCURS. Furthermore, the complex electromagnetic environment also brings impulsive noise. In this paper, a novel parameter estimation method for MCLFM signals based on the fractional Fourier transform-bald eagle search algorithm (FRFT-BES) and synchroextracting short-time fractional Fourier transform-Hough (SSFT-Hough) with alpha-stable noise is proposed. First, we use a nonlinear transformation to eliminate the negative effect of alpha-stable noise on parameter estimation. Second, we combine the improved BES with FRFT to propose FRFT-BES and use it to estimate the frequency modulation rate. Finally, we propose a new time-frequency (TF) transform method with high TF resolution as SSFT, and we combine it with Hough transform (HT) to propose SSFT-Hough to estimate the initial frequency. Frequency modulation rate and initial frequency are widely used in MCLFM signals separation. Simulation results demonstrate that the proposed method performs well in low mixed signal-to-noise ratio (MSNR), and it is superior to existing methods.
{"title":"Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems","authors":"Zhaoxi Wen;Mingqian Liu;Yunfei Chen;Nan Zhao;Arumugam Nallanathan;Xiaoniu Yang","doi":"10.1109/TCCN.2024.3429375","DOIUrl":"10.1109/TCCN.2024.3429375","url":null,"abstract":"Symbiotic chirp-ultra wide bandwidth (UWB) radio system (SCURS) is a UWB radio system with the symbiosis of linear frequency modulation (LFM) and orthogonal frequency division multiplexing (OFDM) signals. It has a high data rate and can transmit data on two channels simultaneously. Moreover, multi-component LFM (MCLFM) parameter estimation plays an important role in the demodulation of SCURS. Furthermore, the complex electromagnetic environment also brings impulsive noise. In this paper, a novel parameter estimation method for MCLFM signals based on the fractional Fourier transform-bald eagle search algorithm (FRFT-BES) and synchroextracting short-time fractional Fourier transform-Hough (SSFT-Hough) with alpha-stable noise is proposed. First, we use a nonlinear transformation to eliminate the negative effect of alpha-stable noise on parameter estimation. Second, we combine the improved BES with FRFT to propose FRFT-BES and use it to estimate the frequency modulation rate. Finally, we propose a new time-frequency (TF) transform method with high TF resolution as SSFT, and we combine it with Hough transform (HT) to propose SSFT-Hough to estimate the initial frequency. Frequency modulation rate and initial frequency are widely used in MCLFM signals separation. Simulation results demonstrate that the proposed method performs well in low mixed signal-to-noise ratio (MSNR), and it is superior to existing methods.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1608-1619"},"PeriodicalIF":7.4,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-07-15DOI: 10.1109/tccn.2024.3427781
Ahmed Nasser, Abdulkadir Celik, Ahmed M. Eltawil
{"title":"Joint User-Target Pairing, Power Control, and Beamforming for NOMA-Aided ISAC Networks","authors":"Ahmed Nasser, Abdulkadir Celik, Ahmed M. Eltawil","doi":"10.1109/tccn.2024.3427781","DOIUrl":"https://doi.org/10.1109/tccn.2024.3427781","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"34 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141624644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-07-12DOI: 10.1109/TCCN.2024.3427133
Ningkang Liao;Yongwei Zhang;Yonghua Wang;Yang Liu
Non-orthogonal multiple access (NOMA) technology offers higher communication throughput than its orthogonal multiple access counterpart. However, it also poses new challenges for spectrum sensing technology. Accurate spectrum sensing of a channel occupied by multiple users is challenging, especially in low signal-to-noise ratio environments. To improve the spectrum sensing performance, a spectrum sensing algorithm based on deep denoising and clustering is developed for power domain NOMA. First, a novel auto-encoder for deep denoising that can filter out the noise of signals is proposed. Then the auto-encoder is transplanted to a variational auto-encoder for extracting features with high separability. Finally, a ring K-means++ algorithm is proposed to classify features. In the experiments, simulations of algorithms are carried out in various scenarios with different numbers of primary users. The results show that the proposed algorithm outperforms other algorithms.
{"title":"Deep Denoising and Clustering-Based Cooperative Spectrum Sensing for Non-Orthogonal Multiple Access","authors":"Ningkang Liao;Yongwei Zhang;Yonghua Wang;Yang Liu","doi":"10.1109/TCCN.2024.3427133","DOIUrl":"10.1109/TCCN.2024.3427133","url":null,"abstract":"Non-orthogonal multiple access (NOMA) technology offers higher communication throughput than its orthogonal multiple access counterpart. However, it also poses new challenges for spectrum sensing technology. Accurate spectrum sensing of a channel occupied by multiple users is challenging, especially in low signal-to-noise ratio environments. To improve the spectrum sensing performance, a spectrum sensing algorithm based on deep denoising and clustering is developed for power domain NOMA. First, a novel auto-encoder for deep denoising that can filter out the noise of signals is proposed. Then the auto-encoder is transplanted to a variational auto-encoder for extracting features with high separability. Finally, a ring K-means++ algorithm is proposed to classify features. In the experiments, simulations of algorithms are carried out in various scenarios with different numbers of primary users. The results show that the proposed algorithm outperforms other algorithms.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1831-1842"},"PeriodicalIF":7.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141602744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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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