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International Conference on Microwave and Millimeter Wave technology Proceedings

作者： Yimeng Sun Qianyin Xiang Xiaoguo Huang Dinghong Jia Quanyuan Feng School of Information Science and Technology Southwest Jiaotong University Chengdu China Science and Technology on Communication Information Security /Control Laboratory Jiaxing China The 41st Institute of CETC Qingdao China

ISBN: (纸本)9781665482271

The paper realizes the estimation of the vector characteristics of the circulator leakage channel for in-band full-duplex self-interference cancellation system based on software defined radio technique. The magnitude and phase responses of the circulator leakage channel are measured by using FFT and cross-correlation algorithm, respectively. USRP B210 and GNU Radio are used for the demonstration. In order to avoid the random phase error, the USRP B210 implements double-receive coherent reception architecture, and initial calibration are required before measuring the vector characteristics of the circulator leakage channel.

关键词： Phase measurement Software algorithms Measurement uncertainty Circulators Estimation Channel estimation Computer architecture

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A Novel Tunable LC Bandpass Filter with Constant Bandwidth based on Mixed Coupling

A Novel Tunable LC Bandpass Filter with Constant Bandwidth b...

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International Conference on Microwave and Millimeter Wave technology Proceedings

作者： Longchuan Liu Qianyin Xiang Mingye Fu Dinghong Jia Xiaoguo Huang Quanyuan Feng School of Information Science and Technology Southwest Jiaotong University Chengdu China Ceyear Technologies Co. Ltd Qingdao China Science and Technology on Communication Information Security/Control Laboratory Jiaxing China

ISBN: (纸本)9781665482271

In this paper, a novel mixed coupling tunable LC bandpass filter (BPF) with constant bandwidth is proposed. The introduction of the magnetic-dominant mixed coupling topology can not only generate transmission zeros for strong out-of-band rejection, but also compensate for bandwidth to achieve constant bandwidth while tuning. Measurement results show that the central frequency tuning range of designed filter is from 85 MHz to 300 MHz with -3dB bandwidth in the range of 22 MHz to 39 MHz.

关键词： Band-pass filters Couplings Magnetic separation Millimeter wave technology Millimeter wave measurements Bandwidth Frequency measurement

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Double-Blockchain Assisted Secure and Anonymous Data Aggregation for Fog-Enabled Smart Grid

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Engineering 2022年第1期8卷 159-169页

作者： Siguang Chen Li Yang Chuanxin Zhao Vijayakumar Varadarajan Kun Wang Jiangsu Key Lab of Broadband Wireless Communication and Internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu Engineering Research Center of Communication and Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Anhui Provincial Key Laboratory of Network and Information Security Anhui Normal UniversityWuhu 241000China School of Computer Science and Engineering Vellore Institute of TechnologyChennai 600127India Department of Electrical and Computer Engineering University of CaliforniaLos AngelesCA 90095USA

As a future energy system,the smart grid is designed to improve the efficiency of traditional power systems while providing more stable and reliable ***,this efficient and reliable service relies on collecting and analyzing users’electricity consumption data frequently,which induces various security and privacy *** address these challenges,we propose a double-blockchain assisted secure and anonymous data aggregation scheme for fog-enabled smart grid named ***,we design a three-tier architecture-based data aggregation framework by integrating fog computing and the blockchain,which provides strong support for achieving efficient and secure data collection in smart ***,we develop a secure and anonymous data aggregation mechanism with low computational overhead by jointly leveraging the Paillier encryption,batch aggregation signature and anonymous *** particular,the system achieves fine-grained data aggregation and provides effective support for power dispatching and price adjustment by the designed double-blockchain and two-level data ***,the superiority of the proposed scheme is illustrated by a series of security and computation cost analyses.

关键词： Blockchain Fog computing Homomorphic encryption Smart grid Anonymity

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Age of information Analysis for CR-NOMA Aided Uplink Systems with Randomly Arrived Packets

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IEEE Transactions on communications 2024年

作者： Sun, Yanshi Ye, Yanglin Ding, Zhiguo Zhou, Momiao Liu, Lei Hefei University of Technology School of Computer Science and Information Engineering Hefei230009 China Khalifa University Department of Computer and Information Engineering Abu Dhabi United Arab Emirates Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Information Communication Network and Security Xi'an710121 China

This paper studies the application of cognitive radio inspired non-orthogonal multiple access (CR-NOMA) to reduce age of information (AoI) for uplink transmission. In particular, a time division multiple access (TDMA) based legacy network is considered, where each user is allocated with a dedicated time slot to transmit its status update information. The CR-NOMA is implemented as an add-on to the TDMA legacy network, which enables each user to have more opportunities to transmit by sharing other user's time slots. A rigorous analytical framework is developed to obtain the expressions for AoIs achieved by CR-NOMA with and without re-transmission, by taking the randomness of the status update generating process into consideration. Numerical results are presented to verify the accuracy of the developed analysis. It is shown that the AoI can be significantly reduced by applying CR-NOMA compared to TDMA. Moreover, the use of re-transmission is helpful to reduce AoI, especially when the status arrival rate is low. © 1972-2012 IEEE.

关键词： Markov chains

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Interference Resource Scheduling Algorithm Based on Potential Game for UAV Cooperative Combat 21

Interference Resource Scheduling Algorithm Based on Potentia...

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21st IEEE International Conference on communication technology, ICCT 2021

作者： Deng, Min Wu, Zhigao Chen, Yongqi School of Automatic and Electronic Information Xiangtan University Hunan National Center for Applied Mathematics Xiangtan China School of Automatic and Electronic Information Xiangtan University Xiangtan China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665432061

Interference resource scheduling is crucial in UAV (unmanned aerial vehicle) cooperative combats of all scales. In view of the simple constraints of the existing scheduling models and their small-scale application situations, a resource scheduling model with constraint of the minimum number of jammed targets is proposed to maximize the benefit of interference and minimize the cost. The analytic hierarchy process is used to weight the indicators of benefit and cost. And the interference resource scheduling model is constructed by the game theory. Besides, the feasibility and existence of the Nash equilibrium are proved. Then, a potential game theory algorithm combined with the tabu algorithm was proposed to solve the interference resource allocation problem. The simulation results show that the designed interference resource scheduling algorithm can achieve higher integration benefit than the other compared algorithms with less iterations. © 2021 IEEE.

关键词： Game theory

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Uplink security Analysis of Hybrid RF-FSO Cooperative Satellite-Aerial-Terrestrial Networks

Uplink Security Analysis of Hybrid RF-FSO Cooperative Satell...

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IEEE Globecom Workshops

作者： Yuanyuan Ma Zhan Xu Lu Tian Ruxin Zhi Xuhui Ding Xiangyuan Bu Key Laboratory of Modern Measurement and Control Technology Ministry of Education Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing Information Science and Technology University Beijing China School of Cyberspace Science and Technology Beijing Institute of Technology Beijing China School of Information and Electronics Beijing Institute of Technology Beijing China

This work investigates the secrecy outage per-formance of the uplink transmission of hybrid radio-frequency (RF)-free-space optical (FSO) cooperative satellite-aerial-terrestrial network (SATN). Specifically, we adopt most popular content wireless caching scheme at aerial relay, while a group of eavesdropping aerial terminals (Eves) try to over-hear the confidential information. In particular, considering the transmit antenna selection (TAS) at the source and the maximal ratio combining (MRC) at the aerial relay, and the randomness of satellite receiver, relay, and Eves, the secrecy outage performance of the cooperative uplink transmission in the considered SATN is investigated and a closed-form analytical expression for the end-to-end secrecy outage probability (SOP) is derived. Finally, Monte-Carlo simulations are shown to verify the accuracy of our analysis.

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Hierarchical Intelligence Enabled Joint RAN Slicing and MAC Scheduling for SLA Guarantee

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IEEE Transactions on communications 2024年

作者： Jia, Yi Zhang, Cheng Li, Nan Huang, Yongming Quek, Tony Q. S. Southeast University National Mobile Communication Research Laboratory Frontiers Science Center for Mobile Information Communication and Security School of Infomation Science and Engineering Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China Department of Wireless and Device Technology Research China Mobile Research Institute Beijing China Singapore University of Technology and Design Information Systems Technology and Design Pillar Singapore487372 Singapore

As a key technology in beyond 5G and future 6G communications, RAN slicing can realize differentiated service level agreement (SLA) guarantees. In this paper, we investigate the multi-slice multi-user RAN slicing. A dynamic bandwidth allocation scheme for RAN slicing is proposed based on hierarchical intelligence, where bandwidth pre-allocation and hyper-parameter tuning for MAC layer schedulers are jointly optimized to maximize the system utility, i.e., the weighted sum of spectrum efficiency (SE) and SLA satisfaction ratio (SSR) of different slices. The problem is formulated as a twin-time scale Markov decision process (MDP), where the bandwidth pre-allocation and the scheduler parameter tuning are performed on a long-term scale (e.g., seconds) and a short-term scale (e.g., 100 ms), respectively, for which we propose a hierarchical twin-time scale Dueling deep Q learning network (TTS-DDQN) algorithm. A new reward-clipping mechanism is proposed to get a better trade-off between stabilized training and higher system utility. In order to improve the robustness to time-varying traffic patterns and non-stationary dynamic environments, we further propose a traffic-aware module for more efficient sampling of the experience pool, and a variational adversarial inverse reinforcement learning (VAIRL) module for reward automation design. Extensive simulations show that the traffic-aware TTS-DDQN in stationary scenarios and the VAIRL module embedded TTS-DDQN in non-stationary scenarios outperform existing typical DQN-based algorithms, hard slicing and non-slicing, etc. © 1972-2012 IEEE.

关键词： Bandwidth

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Reverse Time Migration of Ultra-Wideband Ground-Penetrating Radar Based on Multiple Time-Gating Algorithm

Reverse Time Migration of Ultra-Wideband Ground-Penetrating ...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Junjie Wu Haixiao Li Yuanguo Zhou Le Cao Yan Wang College of Communication and Information Engineering Xi’an University of Science and Technology Xi’an China College of Electrical and Control Engineering Xi’an University of Science and Technology Xi’an China Graduate School of Chinese Aeronautical Establishment Yangzhou China Aviation Key Laboratory of Science and Technology on Electromagnetic Environment Effects Shenyang China National Key Laboratory of Electromagnetic Information Control and Effects Shenyang China

ISBN: (数字)9798350355581

ISBN: (纸本)9798350355598

To address the issue of clutter interference in ground-penetrating radar (GPR) imaging using a VNA (Vector Network Analyzer), this paper improves the traditional reverse time migration (RTM) technique for ultra-wideband GPR imaging. The improved method retains the effective signals in the detection wavefield as the valid imaging area and suppresses signals in non-valid areas. Due to variations in the distance between the transmitting and receiving antennas and the number of anomalies in the experiment, the traditional time window cross-correlation is not ideal for this scenario. The improved method automatically applies reasonable windowing to each data channel, avoiding the simultaneous enhancement of clutter interference and effective signals through direct stacking, and preventing the filtering out of effective signals. Experimental results demonstrate that this method, when applied to real measured data and compared with the traditional cross-correlation RTM method, shows advantages in more accurately locating anomalous areas and suppressing clutter interference. This validates that the Multiple Time-Gating Reverse Time Migration (MTG-RTM) method offers better localization and higher imaging accuracy in practical engineering applications.

关键词： Location awareness Accuracy Ground penetrating radar Transmitting antennas Stacking Radar imaging Vectors Reflection Clutter Ultra wideband technology

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China's greenhouse gas budget during 2000-2023

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National science Review 2025年第4期12卷 24-36页

作者： Wenping Yuan Minqi Liang Yuanyi Gao Ling Huang Li Dan Hongtao Duan Songbai Hong Fei Jiang Weimin Ju Tingting Li Ziyang Lou Shilong Luan Xiao Lu Zhangcai Qin Lishan Ran Lulu Shen Fei Teng Xiangjun Tian Yilong Wang Jing Wei Jiangzhou Xia Xiaosheng Xia Lijun Yu Xu Yue Haicheng Zhang Wen Zhang Yuzhong Zhang Xu Zhao Qiuan Zhu Shilong Piao Xuhui Wang Institute of Carbon Neutrality Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle Sun Yat-sen University Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of Sciences Key Laboratory of Lake and Watershed Science for Water Security Nanjing Institute of Geography and LimnologyChinese Academy of Sciences State Key Laboratory of Lake Science and Environment Nanjing Institute of Geography and LimnologyChinese Academy of Sciences School of Urban Planning and Design Shenzhen Graduate School Peking University Frontiers Science Center for Critical Earth Material Cycling Nanjing University Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System Science Nanjing University Key Laboratory of Atmospheric Environment and Extreme Meteorology Institute of Atmospheric PhysicsChinese Academy of Sciences Shanghai Engineering Research Center of Solid Waste Treatment and Resource Recovery School of Environmental Science & Engineering Shanghai Jiao Tong University Department of Geography The University of Hong Kong Department of Atmospheric and Oceanic Sciences School of PhysicsPeking University Institute of Energy Environment and Economy Tsinghua University State Key Laboratory of Tibetan Plateau Earth System Resources and Environment (TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of Sciences Tianjin Key Laboratory of Water Resources and Environment Tianjin Normal University State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC) Institute of Atmospheric PhysicsChinese Academy of Sciences Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of

National greenhouse gas（GHG） budget,including CO2,CH4and N2O has increasingly become a topic of concern in international climate *** is paying increasing attention to reducing GHG emissions and increasing land sinks to effectively mitigate climate *** estimates of GHG fluxes are crucial for monitoring progress toward mitigating GHG emissions in *** study used comprehensive methods,including emission factor methods,process-based models,atmospheric inversions,and data-driven models,to estimate the long-term trends of GHG sources and sinks from all anthropogenic and natural sectors in China's mainland during 2000-2023,and produced an up-to-date China GHG Budget dataset（CNGHG）.The total gross emissions of the three GHGs show a 3-fold increase from 5.0（95% CI:4.9-5.1） Gt CO2-eq yr-1（in 2000） to 14.3（95% CI:13.8-14.8） Gt CO2-eqyr-1（in2023）.CO2emissions represented 81.8% of the GHG emissions in 2023,while 12.7% and 5.5% were for CH4and N2O,*** the largest CO2source,the energy sector contributed 87.4% *** contrast,the agriculture,forestry and other land use sector was the largest sector of CH4and N2O,representing 50.1% and 6 6.3% emissions,***,China's terrestrial ecosystems serve as a net CO2sink(1.0 Gt CO2yr-1,9596 CI:0.2-1.9 Gt CO2yr-1) during 2012 to 2021,equivalent to an average of 14.3% of fossil *** GHG emission estimates showed a general consistency with national GHG inventories,with gridded and sector-specific estimates of GHG fluxes over China,providing the basis for curtailing GHG emissions for each region and sector.

关键词： greenhouse gas budget China carbon dioxide methane nitrous oxide

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Generative Adversarial Network-Based Electromagnetic Signal Classification: A Semi- Supervised Learning Framework

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China communications 2020年第10期17卷 157-169页

作者： Huaji Zhou Licheng Jiao Shilian Zheng Lifeng Yang Weiguo Shen Xiaoniu Yang Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial IntelligenceXidian UniversityXi'an 710071China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033China

Generative adversarial network(GAN)has achieved great success in many fields such as computer vision,speech processing,and natural language processing,because of its powerful capabilities for generating realistic *** this paper,we introduce GAN into the field of electromagnetic signal classification(ESC).ESC plays an important role in both military and civilian ***,in many specific scenarios,we can’t obtain enough labeled data,which cause failure of deep learning methods because they are easy to fall into ***,semi-supervised learning(SSL)can leverage the large amount of unlabeled data to enhance the classification performance of classifiers,especially in scenarios with limited amount of labeled *** present an SSL framework by incorporating GAN,which can directly process the raw in-phase and quadrature(IQ)signal *** to the characteristics of the electromagnetic signal,we propose a weighted loss function,leading to an effective classifier to realize the end-to-end classification of the electromagnetic *** validate the proposed method on both public RML2016.04c dataset and real-world Aircraft communications Addressing and Reporting System(ACARS)signal *** experimental results show that the proposed framework obtains a significant increase in classification accuracy compared with the state-of-the-art studies.

关键词： generative adversarial network semi-supervised learning electromagnetic signal classification end-to-end classification weighted loss function

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