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IEEE Transactions on Cognitive Communications and Networking最新文献

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A Deep Learning Method for Open-Set Transmission Mode Recognition Based on Multiresolution Time-Frequency Spectrograms 基于多分辨率时频频谱图的开放集传输模式识别深度学习方法
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-12 DOI: 10.1109/tccn.2024.3427113
Huang Lin, Xuchu Dai, Chongfa Wang
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引用次数: 0
Deep Denoising and Clustering-Based Cooperative Spectrum Sensing for Non-Orthogonal Multiple Access 针对非正交多址的深度去噪和基于聚类的合作频谱传感
IF 7.4 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-12 DOI: 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.
与正交多址接入技术相比,非正交多址接入技术可提供更高的通信吞吐量。然而,它也给频谱感知技术带来了新的挑战。对多个用户占用的信道进行精确的频谱感知是一项挑战,尤其是在低信噪比环境下。为了提高频谱感知性能,我们针对功率域 NOMA 开发了一种基于深度去噪和聚类的频谱感知算法。首先,提出了一种用于深度去噪的新型自动编码器,它可以滤除信号中的噪声。然后,将自动编码器移植到变异自动编码器中,以提取具有高分离度的特征。最后,提出了一种环 K-means++ 算法来对特征进行分类。在实验中,对算法进行了模拟,并在不同场景下使用了不同数量的主要用户。结果表明,所提出的算法优于其他算法。
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引用次数: 0
An Evolutionary Multitasking Method for Multi-Objective Critical Node Detection on Interdependent Networks 在相互依存的网络上检测多目标关键节点的进化多任务方法
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-12 DOI: 10.1109/tccn.2024.3427123
Lei Zhang, Huaijin Zhang, Xinyi Feng, Haipeng Yang, Fan Cheng
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引用次数: 0
Task-Oriented Hybrid Beamforming for OFDM-DFRC Systems With Flexibly Controlled Space-Frequency Spectra 灵活控制空频频谱的 OFDM-DFRC 系统的任务导向混合波束成形
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-12 DOI: 10.1109/tccn.2024.3427119
Lingyun Xu, Bowen Wang, Ziyang Cheng
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引用次数: 0
Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learning 联合优化资源分配和数据选择,实现快速且经济高效的联合边缘学习
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-08 DOI: 10.1109/tccn.2024.3424840
Yunjian Jia, Zhen Huang, Jiping Yan, Yulu Zhang, Kun Luo, Wanli Wen
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引用次数: 0
Hifoots: A Highly Efficient DDoS Attack Detection Scheme Deployed in Smart IoT Homes Hifoots:部署在智能物联网家庭中的高效 DDoS 攻击检测方案
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-08 DOI: 10.1109/tccn.2024.3424888
Yipeng Wang, Xintong Zhang, Yingxu Lai, Zijian Zhao, Yongjian Deng
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引用次数: 0
NOMA-Assisted Secure Computation Offloading and Resource Allocation in Marine Internet of Things 海洋物联网中的 NOMA 辅助安全计算卸载和资源分配
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-08 DOI: 10.1109/tccn.2024.3424845
Wei Jiang, Xiao Yuan, Caishi Huang, Liping Qian
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引用次数: 0
SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding SwinJSCC:驯服斯温变换器,实现深度源-信道联合编码
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-08 DOI: 10.1109/tccn.2024.3424842
Ke Yang, Sixian Wang, Jincheng Dai, Xiaoqi Qin, Kai Niu, Ping Zhang
{"title":"SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding","authors":"Ke Yang, Sixian Wang, Jincheng Dai, Xiaoqi Qin, Kai Niu, Ping Zhang","doi":"10.1109/tccn.2024.3424842","DOIUrl":"https://doi.org/10.1109/tccn.2024.3424842","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141561549","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 NOMA Empowered Integrated Sensing and Communication: Joint Beamforming and User Pairing 合作式 NOMA 增强型综合传感与通信:联合波束成形和用户配对
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-03 DOI: 10.1109/tccn.2024.3414394
Ali Amhaz, Mohamed Elhattab, Chadi Assi, Sanaa Sharafeddine
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引用次数: 0
Joint Source-Channel Coding for Channel-Adaptive Digital Semantic Communications 信道自适应数字语义通信的源信道联合编码
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-07-03 DOI: 10.1109/tccn.2024.3422496
Joohyuk Park, Yongjeong Oh, Seonjung Kim, Yo-Seb Jeon
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引用次数: 0
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IEEE Transactions on Cognitive Communications and Networking
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