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Massive MIMO Channel Estimation With Convolutional Neural Network Structures 利用卷积神经网络结构进行大规模多输入多输出信道估计
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-29 DOI: 10.1109/tccn.2024.3435478
Leopoldo Carro-Calvo, Alejandro de la Fuente, Antonio Melgar, Eduardo Morgado
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引用次数: 0
Transmission Design for IRS-Aided MIMO Cognitive Radio Systems With Finite Alphabet Inputs and Imperfect CSI 具有有限字母输入和不完美 CSI 的 IRS 辅助 MIMO 认知无线电系统的传输设计
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-29 DOI: 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":null,"pages":null},"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}
引用次数: 0
Cooperative Hierarchical Deep Reinforcement Learning Based Joint Sleep and Power Control in RIS-Aided Energy-Efficient RAN 基于分层深度强化学习的合作式联合睡眠和功率控制在 RIS 辅助高能效 RAN 中的应用
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-29 DOI: 10.1109/tccn.2024.3435850
Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
{"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":null,"pages":null},"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}
引用次数: 0
Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications 生成式人工智能驱动的语义通信网络:架构、技术和应用
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-29 DOI: 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":null,"pages":null},"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}
引用次数: 0
Multi-attribute Auction-Based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-Based DRL Approach 基于拍卖的多属性资源分配,用于车载 Metaverses 中的双胞胎迁移:基于 GPT 的 DRL 方法
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-24 DOI: 10.1109/tccn.2024.3431931
Yongju Tong, Junlong Chen, Minrui Xu, Jiawen Kang, Zehui Xiong, Dusit Niyato, Chau Yuen, Zhu Han
{"title":"Multi-attribute Auction-Based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-Based DRL Approach","authors":"Yongju Tong, Junlong Chen, Minrui Xu, Jiawen Kang, Zehui Xiong, Dusit Niyato, Chau Yuen, Zhu Han","doi":"10.1109/tccn.2024.3431931","DOIUrl":"https://doi.org/10.1109/tccn.2024.3431931","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141754851","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}
引用次数: 0
SCM-GNN: A Graph Neural Network-Based Multi-Antenna Spectrum Sensing in Cognitive Radio SCM-GNN:认知无线电中基于图神经网络的多天线频谱传感
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-22 DOI: 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":null,"pages":null},"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}
引用次数: 0
RIS-Assisted Hybrid Symbiotic Radio Network: From Practical End-to-End Model to Multi-Objective Optimization RIS 辅助混合共生无线电网络:从实用端到端模型到多目标优化
IF 7.4 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-22 DOI: 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。
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引用次数: 0
Cellular Coverage Extension Using an Intelligent FSO-Based UAV: An Energy and Spectral Efficient Approach 利用基于 FSO 的智能无人飞行器扩展蜂窝网络覆盖:一种高效节能的方法
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-16 DOI: 10.1109/tccn.2024.3429380
Fereidoun H. Panahi, Farzad H. Panahi
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引用次数: 0
Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems 共生 Chirp-UWB 无线电系统的多分量 LFM 信号参数估计
IF 7.4 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-16 DOI: 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.
共生啁啾-超宽带(UWB)无线电系统(SCURS)是线性频率调制(LFM)和正交频分复用(OFDM)信号共生的 UWB 无线电系统。它具有很高的数据传输速率,可同时在两个信道上传输数据。此外,多分量线性频率调制(MCLFM)参数估计在 SCURS 的解调中发挥着重要作用。此外,复杂的电磁环境还会带来脉冲噪声。本文提出了一种基于分数傅里叶变换-秃鹰搜索算法(FRFT-BES)和具有阿尔法稳定噪声的同步提取短时分数傅里叶变换-霍夫(SSFT-Hough)的新型 MCLFM 信号参数估计方法。首先,我们使用非线性变换来消除阿尔法稳定噪声对参数估计的负面影响。其次,我们将改进的 BES 与 FRFT 相结合,提出了 FRFT-BES,并用它来估计频率调制率。最后,我们提出了一种具有高 TF 分辨率的新时频(TF)变换方法 SSFT,并将其与 Hough 变换(HT)相结合,提出了 SSFT-Hough 方法来估计初始频率。频率调制率和初始频率广泛应用于 MCLFM 信号分离。仿真结果表明,所提出的方法在低混合信噪比(MSNR)条件下表现良好,优于现有方法。
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引用次数: 0
Joint User-Target Pairing, Power Control, and Beamforming for NOMA-Aided ISAC Networks NOMA 辅助 ISAC 网络的用户-目标联合配对、功率控制和波束成形
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-15 DOI: 10.1109/tccn.2024.3427781
Ahmed Nasser, Abdulkadir Celik, Ahmed M. Eltawil
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引用次数: 0
期刊
IEEE Transactions on Cognitive Communications and Networking
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