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A Low-Cost and Infrastructure-Less LoRa Wireless Network Testbed for Cognitive Internet of Things 用于认知物联网的低成本、无基础设施 LoRa 无线网络试验台
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-16 DOI: 10.1109/tccn.2024.3461671
Ye Liu, Pei Tian, Carlo Alberto Boano, Xiaoyuan Ma, Qing Yang, Honggang Wang
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引用次数: 0
Online Learning Based Joint Gateway Selection and User Scheduling in Non-Stationary Air-Ground Networks 非静止空地网络中基于在线学习的联合网关选择和用户调度
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-10 DOI: 10.1109/tccn.2024.3457525
Youkun Peng, Gang Feng, Shuang Qin, Fengsheng Wei, Long Zhang
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引用次数: 0
Machine Learning Based Blind Signal Detection for Ambient Backscatter Communication Systems 基于机器学习的环境反向散射通信系统盲信号检测
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-10 DOI: 10.1109/tccn.2024.3457532
Han Zhu, Jiamiao Zhan, Chan-Tong Lam, Bidong Chen, Benjamin K. Ng
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引用次数: 0
Grant-Free Random Access With Backscattering Self-Conjugating Metasurfaces 利用反向散射自共轭元表面实现无赠予随机存取
IF 7.4 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-09 DOI: 10.1109/TCCN.2024.3449648
Davide Dardari;Marina Lotti;Nicolò Decarli;Gianni Pasolini
Recently, grant-free random access (GFRA) schemes have received significant attention by the research community as a solution for extremely low-latency and short packet transmissions in new industrial Internet-of-Things and digital twins applications. However, implementing such schemes in the mmWave and THz frequency bands is challenging due to the need for multiple-input multiple-output (MIMO) links to counteract the high path loss and provide sufficient spatial filtering. This results in unacceptable signaling overhead for channel estimation, slow beam alignment procedures between the access point (AP) and the sensors, as well as high sensor complexity and energy consumption. In this paper, we propose the adoption of a self-conjugating metasurface (SCM) at the sensor side, where the signal sent by the AP is backscattered after being conjugated and phase-modulated according to the data to be transmitted by the sensor. We introduce a novel SCM-based GFRA protocol enabling the detection of new sensors and the establishment of parallel MIMO uplink communications with extremely low latency. This is achieved in a blind manner, eliminating the need for radiofrequency chains and digital processing at the sensor side, as well as explicit channel estimation and time-consuming beam alignment schemes.
最近,无赠予随机存取(GFRA)方案作为一种在新型工业物联网和数字双胞胎应用中实现极低延迟和短数据包传输的解决方案,受到了研究界的极大关注。然而,由于需要多输入多输出(MIMO)链路来抵消高路径损耗并提供足够的空间滤波,在毫米波和太赫兹频段实施此类方案具有挑战性。这导致信道估计的信令开销、接入点(AP)和传感器之间缓慢的波束对准程序,以及传感器的高复杂性和高能耗。在本文中,我们建议在传感器端采用自共轭元面(SCM),即接入点发送的信号在根据传感器要传输的数据进行共轭和相位调制后进行反向散射。我们介绍了一种新颖的基于 SCM 的 GFRA 协议,它能检测新传感器,并以极低的延迟建立并行多输入多输出上行链路通信。这是以盲方式实现的,无需在传感器端进行射频链和数字处理,也无需明确的信道估计和耗时的波束对准方案。
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引用次数: 0
Secure Task Offloading in Blockchain-Enabled MEC Networks With Improved PBFT Consensus 通过改进 PBFT 共识在区块链 MEC 网络中实现安全任务卸载
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-04 DOI: 10.1109/tccn.2024.3454280
Jianbo Du, Zuting Yu, Aijing Sun, Jing Jiang, Haitao Zhao, Ning Zhang, Celimuge Wu, F. Richard Yu
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引用次数: 0
A Data Augmentation-Based Channel Estimation Scheme for Intelligent Reflecting Surface Assisted Wireless Communication System 基于数据增强的智能反射面辅助无线通信系统信道估计方案
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-04 DOI: 10.1109/tccn.2024.3454222
Jihong Wang, Zhuo Wang
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引用次数: 0
Recurrent Neural Unit With Frequency Attention for Specific Emitter Identification 用于识别特定发射器的频率注意递归神经单元
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-04 DOI: 10.1109/tccn.2024.3454276
Yilin Liao, Haozhe Li, Zijian Tian, Zhaoran Liu, Wenhai Wang, Xinggao Liu
{"title":"Recurrent Neural Unit With Frequency Attention for Specific Emitter Identification","authors":"Yilin Liao, Haozhe Li, Zijian Tian, Zhaoran Liu, Wenhai Wang, Xinggao Liu","doi":"10.1109/tccn.2024.3454276","DOIUrl":"https://doi.org/10.1109/tccn.2024.3454276","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"8 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142138053","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
Optimizing Secrecy Rate for Federated Learning Model Aggregation With Intelligent Reflecting Surface Towards 6G Ubiquitous Intelligence 利用智能反射面优化联邦学习模型聚合的保密率,实现 6G 泛在智能
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-04 DOI: 10.1109/tccn.2024.3454256
Bomin Mao, Yingying Wu, Jiajia Liu, Hongzhi Guo, Jiadai Wang, Nei Kato
{"title":"Optimizing Secrecy Rate for Federated Learning Model Aggregation With Intelligent Reflecting Surface Towards 6G Ubiquitous Intelligence","authors":"Bomin Mao, Yingying Wu, Jiajia Liu, Hongzhi Guo, Jiadai Wang, Nei Kato","doi":"10.1109/tccn.2024.3454256","DOIUrl":"https://doi.org/10.1109/tccn.2024.3454256","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"16 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142138128","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
Deep Learning-Based Collision-Aware Multi-User Detection for Channel-Modulated Codebooks in Grant-Free Sparse Code Multiple Access Systems 无赠予稀疏码多址系统中信道调制码本的基于深度学习的碰撞感知多用户检测
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-04 DOI: 10.1109/tccn.2024.3454264
Minsig Han, Metasebia D. Gemeda, Ameha T. Abebe, Chung G. Kang
{"title":"Deep Learning-Based Collision-Aware Multi-User Detection for Channel-Modulated Codebooks in Grant-Free Sparse Code Multiple Access Systems","authors":"Minsig Han, Metasebia D. Gemeda, Ameha T. Abebe, Chung G. Kang","doi":"10.1109/tccn.2024.3454264","DOIUrl":"https://doi.org/10.1109/tccn.2024.3454264","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"4 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142138129","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
Accelerating Federated Learning for Edge Intelligence Using Conjugated Central Acceleration With Inexact Global Line Search 利用共轭中心加速与非精确全局线性搜索加速边缘智能的联合学习
IF 8.6 1区 计算机科学 Q1 TELECOMMUNICATIONS Pub Date : 2024-09-04 DOI: 10.1109/tccn.2024.3454273
Lei Zhao, Lin Cai, Wu-Sheng Lu
{"title":"Accelerating Federated Learning for Edge Intelligence Using Conjugated Central Acceleration With Inexact Global Line Search","authors":"Lei Zhao, Lin Cai, Wu-Sheng Lu","doi":"10.1109/tccn.2024.3454273","DOIUrl":"https://doi.org/10.1109/tccn.2024.3454273","url":null,"abstract":"","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"208 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142138152","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
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IEEE Transactions on Cognitive Communications and Networking
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