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检索条件"机构=Key Laboratory of Trustworthy Distributed Computing and Servic"
462 条 记 录,以下是401-410 订阅
排序:
Gaussian Blur Aided Blind Phase Search Algorithm in Lower Snr Qam Transmission System
SSRN
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SSRN 2022年
作者: Qiao, Yaojun Sun, Zhongliang Tang, Du Cui, Han Wu, Zhen Tang, Xizi Lu, Yueming The State Key Laboratory of Information Photonics and Optical Communications School of Information and Communication Engineering Beijing University of Posts and Telecommunications Xitucheng Road NO.10 Beijing100876 China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Cyberspace Security Xitucheng Road NO.10 Beijing100876 China
Probabilistic constellation shaping (PCS) reduces the required SNR compared with the uniform distribution system to achieve the same mutual information (MI). However, system with lower SNR i.e. severer amplified spont... 详细信息
来源: 评论
Learned Modified Perturbation Backpropagation for Fiber Nonlinear Equalization in High-Symbol-Rate Transmission Systems
SSRN
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SSRN 2022年
作者: Wu, Zhen Tang, Du Jiang, Yingjie Lu, Yueming Qiao, Yaojun The State Key Laboratory of Information Photonics and Optical Communications School of Information and Communication Engineering Beijing University of Posts and Telecommunications Xitucheng Road NO.10 Beijing100876 China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Cyberspace Security Xitucheng Road NO.10 Beijing100876 China
A novel learned modified perturbation backpropagation (L-MPBP) algorithm for high-symbol-rate (HSR) coherent optical transmission system is proposed in this paper. As an extension of perturbation backpropagation (PBP)... 详细信息
来源: 评论
Bag2image: A Multi-Instance Network Traffic Representation for Network Security Event Prediction
SSRN
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SSRN 2024年
作者: Zhang, Jiachen Han, Daoqi Lv, Zhaoxuan Liu, Yang Lu, Yueming Duan, Junke Zhang, Xinyu School of Cyberspace Security Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education China School of Automation Beijing Institute of Technology Beijing China Beijing Institute of Astronautical Systems Engineering Beijing China
In practical scenarios, security events triggered by abnormal network traffic often result from the collective behavior of multiple data streams, embodying group security events with collective characteristics. Existi... 详细信息
来源: 评论
The hot topics evaluation and key issues in online news about emergency events
The hot topics evaluation and key issues in online news abou...
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World Congress on Intelligent Control and Automation (WCICA)
作者: Liping Chen Junping Du Katsunori Shimohara Maoqiang Song Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia School of Computer Science Beijing University of Posts and Telecommunications Beijing China Department of Information Systems Design Doshisha University Kyotanabe Kyoto Japan Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education Beijing University of Posts and Telecommunications Beijing China
This paper concentrates on the evaluation system of hot topics in the online news about the emergency events. First, the overall technology framework of the system was established and description was formulated on the... 详细信息
来源: 评论
Gaussian Blur Aided Blind Phase Search Algorithm in Low Snr Qam Transmission System
SSRN
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SSRN 2022年
作者: Sun, Zhongliang Tang, Du Cui, Han Wu, Zhen Tang, Xizi Lu, Yueming Qiao, Yaojun The State Key Laboratory of Information Photonics and Optical Communications School of Information and Communication Engineering Beijing University of Posts and Telecommunications Xitucheng Road NO.10 Beijing100876 China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Cyberspace Security Xitucheng Road NO.10 Beijing100876 China
Probabilistic constellation shaping (PCS) reduces the required SNR compared with the uniform distribution system to achieve the same mutual information (MI). However, severe amplified spontaneous emission (ASE) noise ... 详细信息
来源: 评论
Sensing-Assisted Neighbor Discovery for Vehicular Ad Hoc Networks
Sensing-Assisted Neighbor Discovery for Vehicular Ad Hoc Net...
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IEEE Conference on Wireless Communications and Networking
作者: Yuyang Liu Songlin Sun Ronghui Zhang School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education Engineering Research Center of Blockchain and Network Convergence Technology Ministry of Education State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China
In this paper, we propose a sensing-assisted neighbor discovery algorithm that utilizes the sensing capability of radar to improve the efficiency of neighbor discovery for vehicular ad hoc networks (VANETs). To store ... 详细信息
来源: 评论
Reinforcement Learning Based Antenna Selection in User-Centric Massive MIMO
Reinforcement Learning Based Antenna Selection in User-Centr...
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IEEE Conference on Vehicular Technology (VTC)
作者: Xinxin Chai Hui Gao Ji Sun Xin Su Tiejun Lv Jie Zeng Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China Ministry of Industry and Information Technology Institute of Telecommunications Beijing China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing China
In this paper, we consider a user-centric massive multiple-input multiple-output (UC-MMIMO) system, wherein the optimal antenna selection (AS) is very complicated, because of the huge number of deployed antennas. Trad... 详细信息
来源: 评论
EFM: A Negative Network Public Opinion Early Warning Model Based on Evolutionary Feature Mining
EFM: A Negative Network Public Opinion Early Warning Model B...
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IEEE International Conference on Data Science in Cyberspace (DSC)
作者: Fanfeixue Meng Jingchen Wu Feifan Song Xu Wu Lan Hu Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Cyberspace Security BUPT Beijing University of Posts and Telecommunications Beijing China School of Computer Science (National Pilot Software Engineering School) BUPT School of Economics and Finance Changchun Finance College
With the popularity of the Internet and the increase in the number of netizens, it is of great significance to effectively monitor and predict the negative network public opinion on social media platforms. Most mainst...
来源: 评论
A twin-multi-ring channel model for Massive MIMO system
A twin-multi-ring channel model for Massive MIMO system
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International Symposium on Communications and Information Technologies (ISCIT)
作者: Ying Chen Yue Li Songlin Sun Xinzhou Cheng Xuqi Chen School of Information and Communication Engineering Beijing University of Posts and Telecommunications China Ministry of Education Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) China Unicom Network Technology Research Institute China Posts & Telecommunications Planning and Designing Institute Co. Ltd China
A Massive MIMO system is equipped with more antennas than traditional MIMO system. Channel modeling for MIMO system has been well studied. However, study for Massive MIMO system channel modeling has just begun. In thi... 详细信息
来源: 评论
Modulation Recognition based on Incremental Deep Learning
Modulation Recognition based on Incremental Deep Learning
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International Conference on Mechanical, Control and Computer Engineering (ICMCCE)
作者: Yong Yang Menghan Chen XiaoYa Wang Piming Ma The 54th Research Institute of CETC Shijiazhuang China School of Information Science and Engineering Shandong University Qingdao China School of Information and Communication Engineering National Engineering Laboratory for Mobile Network Security Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications line Beijing China
Incremental learning has emerged to solve the problem of incrementally updating the classification model as the number of data classes grows. There are many challenges in incremental learning such as catastrophic forg... 详细信息
来源: 评论