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Energy-Efficient UAV Trajectory Design for Backscatter Communication: A Deep Reinforcement Learning Approach

China Communications 2020年第10期17卷 129-141页

作者： Yiwen Nie Junhui Zhao Jun Liu Jing Jiang Ruijin Ding School of Electronic and Information Engineering Beijing Jioatong UniversityBeijing 100044China School of Information Engineering East China Jiaotong UniversityNanchang 330013China Institute of Network Sciences and Cyberspace Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology(BNRist) Beijing 100084China Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts and TelecommunicationsXi’an 710121China Institute for Artificial Intelligence Tsinghua University(THUAI)Beijing 100084China State Key Laboratory of Intelligent Technologies and Systems Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology(BNRist) Department of AutomationTsinghua UniversityBeijing 100084China

Recently,backscatter communication(BC)has been introduced as a green paradigm for Internet of Things(IoT).Meanwhile,unmanned aerial vehicles(UAVs)can serve as aerial base stations(BSs)to enhance the performance of BC system thanks to their high mobility and *** this paper,we investigate the problem of energy efficiency(EE)for an energy-limited backscatter communication(BC)network,where backscatter devices(BDs)on the ground harvest energy from the wireless signal of a flying rotary-wing ***,we first reformulate the EE optimization problem as a Markov decision process(MDP)and then propose a deep reinforcement learning(DRL)algorithm to design the UAV trajectory with the constraints of the BD scheduling,the power reflection coefficients,the transmission power,and the fairness among *** results show the proposed DRL algorithm achieves close-to-optimal performance and significant EE gains compared to the benchmark schemes.

关键词： unmanned aerial vehicle(UAV) trajectory design backscatter communication deep reinforcement learning energy-efficient

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SRA360: Super-Resolution Enhanced Adaptive 360-Degree Video Streaming for Heterogeneous Viewers

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IEEE Transactions on Network Science and Engineering 2025年

作者： Wu, Zhonghui Lu, Lu Chen, Xingyan Ma, Yunxiao Yang, Shujie Wang, Mu Zhong, Lujie Wu, Dapeng Oliver Xu, Changqiao China Mobile Research Institute Department of Basic Network Technology Beijing100053 China Beijing University of Posts and Telecommunications School of Intelligent Engineering and Automation Beijing100876 China Shanghai Satellite Network Research Institute Co. Ltd Shanghai Key Laboratory of Satellite Network State Key Laboratory of Satellite Network Shanghai201210 China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Capital Normal University Information Engineering College Beijing100048 China City University of Hong Kong Department of Computer Science Kowloon Hong Kong

As a driving force behind Virtual Reality (VR), 360-degree video streaming enables immersive and interactive experiences that seamlessly connect the physical and digital worlds. However, their bandwidth-intensive nature poses substantial challenges to existing systems. To address the high bandwidth demand associated with streaming 360-degree videos, some researchers have proposed super-resolution technology enhanced video streaming systems. However, these solutions often face challenges in uniformly applying to diverse user devices, which exhibit significant variations in bandwidth and computational capabilities. This paper introduces SRA360, an innovative super-resolution enhanced adaptive 360-degree video streaming scheme for heterogeneous viewers. It integrates server, edge, and client layers, utilizing a Meta Proximal Policy Optimization algorithm for adaptive video quality selection and computational task scheduling in heterogeneous environments. Then a Reconstruction and Retransmission enabled Double Buffer mechanism is proposed to solve the conflict of smooth playback and high-precision FoV prediction. Real-world trace-driven experiment results demonstrate the superiority of SRA360 in enhancing quality of experience and reducing bandwidth consumption compared to state-of-art methods. © 2013 IEEE.

关键词： Video streaming

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Editorial: AI, data analytics, and mechanism design for DER integration toward net zero

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Frontiers in Energy Research 2022年 10卷

作者： Wang, Hao Ye, Yujian Chen, Yue Chen, Yize Yang, Qing Cui, Qiushi You, Pengcheng Department of Data Science and AI Faculty of Information Technology and Monash Energy Institute Monash University MelbourneVIC Australia School of Electrical Engineering Southeast University Nanjing China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong Guangzhou China College of Electronics and Information Engineering Shenzhen University Shenzhen China State Key Laboratory of Power Transmission Equipment and System Security and New Technology School of Electrical Engineering Chongqing University Chongqing China Department of Industrial Engineering and Management College of Engineering Peking University Beijing China

The energy system is undergoing a fundamental energy transition by integrating low-carbon distributed 5 energy resources (DERs) in distribution networks to accelerate net zero. The increased DER uptake 6 poses significant challenges in operating energy systems to achieve net zero with high reliability and low 7 cost. In particular, the inherent variability of renewable generation, such as solar photovoltaic systems, 8 brings significant uncertainties to the energy system, causing reliability concerns. DERs also cause power 9 quality issues, such as voltage fluctuations. But the distribution system was not designed to support large Our goal in putting together this research topic is to provide a glance at the wide variety of aspects, 51 spanning from technical modeling and assessment to market-based solutions enabling energy transition 52 towards net zero by integrating DERs. We are also aware that the four papers selected are a small fraction 53 of works focusing on DER integration. We hope that these articles will succeed in attracting readers for 54 further research on this significant research topic of smart grids.

关键词： net zero energy transition smart grid distributed energy resources (DER) artificial intelligence data analytics optimization

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Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: a convex optimization approach

arXiv

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arXiv 2021年

作者： Zhang, Han Ringh, Axel Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Department of Mathematical Sciences Chalmers University of Technology University of Gothenburg Gothenburg41296 Sweden

The inverse linear-quadratic optimal control problem is a system identification problem whose aim is to recover the quadratic cost function and hence the closed-loop system matrices based on observations of optimal trajectories. In this paper, the discrete-time, finite-horizon case is considered, where the agents are also assumed to be homogeneous and indistinguishable. The latter means that the agents all have the same dynamics and objective functions and the observations are in terms of "snap shots" of all agents at different time instants, but what is not known is "which agent moved where" for consecutive observations. This absence of linked optimal trajectories makes the problem challenging. We first show that this problem is globally identifiable. Then, for the case of noiseless observations, we show that the true cost matrix, and hence the closed-loop system matrices, can be recovered as the unique global optimal solution to a convex optimization problem. Next, for the case of noisy observations, we formulate an estimator as the unique global optimal solution to a modified convex optimization problem. Moreover, the statistical consistency of this estimator is shown. Finally, the performance of the proposed method is demonstrated by a number of numerical examples. Copyright © 2021, The Authors. All rights reserved.

关键词： Convex optimization

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Patient-specific Seizure Prediction with Scalp EEG Using Convolutional Neural Network and Extreme Learning Machine

Patient-specific Seizure Prediction with Scalp EEG Using Con...

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第三十九届中国控制会议

作者： Yingmei Qin Hailing Zheng Wei Chen Qing Qin Chunxiao Han Yanqiu Che Tianjin Key Laboratory of Information Sensing & Intelligent Control School of Automation and Electrical EngineeringTianjin University of Technology and Education IEEE Department of Neurosurgery Penn State College of Medicine

Seizure prediction can allow timely preventive measures for patients with epilepsy. In this study, we propose a hybrid model consisting of convolutional neural networks（CNNs） and an extreme learning machine（ELM） to predict seizures using scalp EEG. We first covert the EEG time series on 30-s windows into 2 D spectrograms using the short-time Fourier *** we apply CNNs to these images to extract features automatically. Finally, we use the ELM to classify preictal and interictal segments. The proposed method achieves sensitivity of 95.85% and a false prediction rate of 0.045/h on the Boston Children’s Hospital-MIT scalp EEG dataset.

关键词： Seizure Prediction EEG Convolutional Neural Networks Extreme Learning Machine

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Test piece design, mechanical properties and fracture strain in two-step tensile testing of lightweight materials at high strain rates

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International Journal of Impact Engineering 2025年 206卷

作者： Da Cai Hao Jiang Peng Wang Qing Wang Weifeng Gan Junjia Cui Guangyao Li State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan University Changsha 410082 China Battery System Development Department Contemporary Amperex Technology Co. Ltd Ningde 352100 China Shenzhen Huashun Intelligent Equipment Co. Ltd Shenzhen 518119 China Shenzhen Automotive Research Institute Beijing Institute of Technology Shenzhen 518119 China

Continuous forming at high strain rates is an important research direction for future precision forming of light alloys. In this study, dynamic behavior of AA5052 aluminum alloy in two-step tensile testing at high strain rates were investigated. Special two-step tensile test piece at high strain rate was designed. The test piece of the special design contained a weak structural notch area and a dog-bone shaped area. The test piece was pre-stretched to a pre-determined strain so that the weak region broke. Then a secondary stretching was performed. The response surface equations of pre-strain and pre-strain rate were established separately to evaluate the functional relationship between the notch interval, tensile velocity and strain rate, and equivalent plastic strain. The effects of the parameters on the fracture strain were compared. The results showed that the test pieces could meet the requirements of the two-step tensile test at high strain rates. The pre-strain and pre-strain rate were affected by the size of the notch interval and the tensile velocity. The increase of tensile strength was related to pre-strain and secondary strain rate. The linear cumulative damage criterion can be used to interpret the two-step stretching at high strain rates. When the strain rate in single-step stretching is the same as the strain rate in each step of two-step stretching, the fracture strain in single-step stretching can be substituted for the fracture strain in two-step stretching. Research can help solve the problems of poor formability and early failure of lightweight alloys.

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Reconfigurable intelligent Surface Assisted High-Speed Train Communications: Coverage Performance Analysis and Placement Optimization

arXiv

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arXiv 2023年

作者： Liu, Changzhu He, Ruisi Niu, Yong Han, Zhu Ai, Bo Gao, Meilin Ma, Zhangfeng Wang, Gongpu Zhong, Zhangdui The State Key Laboratory of Advanced Rail Autonomous Operation The School of Electronics and Information Engineering The Frontiers Science Center for Smart High-speed Railway System The Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China The State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China The National Mobile Communications Research Laboratory Southeast University Nanjing211189 China The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China The Tsinghua Space Center the Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100091 China The College of Information Engineering Shaoyang University Shaoyang422000 China The Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China

Reconfigurable intelligent surface (RIS) emerges as maximization problem is formulated to facilitate RIS discrete an efficient and promising technology for the next wireless phase design and RIS placement optimization, which is subject generation networks and has attracted a lot of attention owing to coverage probability constraint. Simulation results validate to the capability of extending wireless coverage by reflecting that better coverage performance and higher travel distance signals toward targeted receivers. In this paper, we consider can be achieved with deployment of RIS. The impacts of some a RIS-assisted high-speed train (HST) communication system key system parameters including transmission power, signal-to-to enhance wireless coverage and improve coverage probability. noise ratio threshold, number of RIS elements, number of RIS First, coverage performance of the downlink single-input-single- quantization bits, horizontal distance between base station and output system is investigated, and the closed-form expression RIS, and speed of HST on system performance are investigated. of coverage probability is derived. Moreover, travel distance In addition, it is found that RIS can well improve coverage probability with limited power consumption for HST communications. Copyright © 2023, The Authors. All rights reserved.

关键词： Railroads

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PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection

引用

IEEE Transactions on Instrumentation and Measurement 2022年 71卷

作者： Xu Wang Zhaoshui He Zhijie Lin Yang Han Taiheng Liu Jun Lu Shengli Xie School of Automation and the Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangdong University of Technology Guangzhou China School of Automation and the Key Laboratory for IoT Intelligent Information Processing and System Integration of Ministry of Education Guangdong University of Technology Guangzhou China School of Automation and the Guangdong Key Laboratory of IoT Information Technology Guangdong University of Technology Guangzhou China Department of Obstetrics The First Affiliated Hospital Sun Yat-sen University Guangzhou China School of Automation Guangdong University of Technology Guangzhou China

The noninvasive fetal ECG (FECG) is used to monitor fetal well-being at prenatal and intrapartum. However, it is challenging to detect the FECG signal from the abdominal electrocardiogram (ECG) due to the following problems: 1) the FECG signal is weak and often masked by noise and 2) the FECG signal is mixed or overlapped with the maternal ECG (MECG) signal. To solve such problems, a period-aware attention network (PA 2 Net) is proposed for FECG detection by designing three modules, where an FECG period-aware attention module (FPAM), which is designed to suppress the noise interference by modeling the periods and features of signals, is first employed to detect FECG signals masked in noise; next, an MECG period-aware attention module, which is generated from the FPAM by the KL-divergence-based weight sharing module, can collaborate with the FPAM to search for mixed ECG signals of FECG and MECG. Finally, an antialiasing signal separation module is developed to estimate FECG signals from mixed ECG signals. Experiments conducted on the benchmarks show that the proposed PA 2 Net can achieve excellent performance with the PPV of 98.83%, 99.74%, 99.67%, and 98.47% on PCDB, ADFECGDB, NIFECGDB, and LHDB databases, respectively, allowing obstetricians to use PA 2 Net to monitor fetal health and diagnose diseases.

关键词： Electrocardiography Feature extraction Indexes Monitoring Compounds Biomedical monitoring Wavelet transforms

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Storage and transmission capacity requirements of a remote solar power generation system

arXiv

引用

arXiv 2021年

作者： Chen, Yue Wei, Wei Wang, Cheng Shafie-Khah, Miadreza Catalão, João P.S. The Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong The State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing100084 China The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China School of Technology and Innovations University of Vaasa Vaasa65200 Finland Faculty of Engineering The University of Porto INESC TEC Porto4200-465 Portugal

Large solar power stations usually locate in remote areas and connect to the main grid via a long transmission line. Energy storage unit is deployed locally with the solar plant to smooth its output. Capacities of the grid-connection transmission line and the energy storage unit have a significant impact on the utilization rate of solar energy, as well as the investment cost. This paper characterizes the feasible set of capacity parameters under a given solar spillage rate and a fixed investment budget. A linear programming based projection algorithm is proposed to obtain such a feasible set, offering valuable references for system planning and policy making. © 2021, CC BY-NC-ND.

关键词： Electric lines

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Local Partial Zero-Forcing Combining for Cell-Free Massive MIMO systems

arXiv

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arXiv 2022年

作者： Zhang, Jiayi Zhang, Jing Björnson, Emil Ai, Bo The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-Speed Railway System Beijing Jiaotong University Beijing100044 China The Department of Electrical Engineering Linköping University Linköping Sweden The Department of Computer Science KTH Royal Institute of Technology Kista Sweden The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-Speed Railway System Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China

Cell-free massive multiple-input multiple-output (MIMO) provides more uniform spectral efficiency (SE) for users (UEs) than cellular technology. The main challenge to achieve the benefits of cell-free massive MIMO is to realize signal processing in a scalable way. In this paper, we consider scalable full-pilot zero-forcing (FZF), partial FZF (PFZF), protective weak PFZF (PWPFZF), and local regularized ZF (LRZF) combining by exploiting channel statistics. We derive closed-form expressions of the uplink SE for FZF, PFZF, and PWPFZF combining with large-scale fading decoding over independent Rayleigh fading channels, taking channel estimation errors and pilot contamination into account. Moreover, we investigate the impact of the number of pilot sequences, antennas per AP, and APs on the performance. Numerical results show that LRZF provides the highest SE. However, PWPFZF is preferable when the number of pilot sequences is large and the number of antennas per AP is small. The reason is that PWPFZF has lower computational complexity and the SE expression can be computed in closed-form. Furthermore, we investigate the performance of PWPFZF combining with fractional power control and the numerical results show that it improves the performance of weak UEs and realizes uniformly good service for all UEs in a scalable fashion. Copyright © 2022, The Authors. All rights reserved.

关键词： Power control

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