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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhao, Zhouxiang Yang, Zhaohui Chen, Mingzhe Gan, Xu Huang, Chongwen Xu, Wei Zhang, Zhaoyang Zhejiang University College of Information Science and Electronic Engineering Hangzhou China Hangzhou China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL33146 United States Southeast University National Mobile Communications Research Laboratory Nanjing China

ISBN: (纸本)9798350351255

In this paper, the energy efficiency maximization problem in space-air-ground integrated network (SAGIN)-enabled probabilistic semantic communication (PSC) is investigated. In the considered model, a satellite needs to transmit data to multiple ground terminals (GTs) via an unmanned aerial vehicle (UAV) acting as a relay. During transmission, the satellite and the UAV can use PSC technique to compress the transmitted data, while the GTs can automatically recover the original data. In the considered PSC system, shared probability graphs serve as a common knowledge base among the transceivers, allowing for resource-saving communication at the expense of increased computation resource. Therefore, it is important to study the trade-off between communication and computation to achieve optimal energy efficiency. The joint communication and computation problem is formulated as an optimization problem aiming to minimize the total communication and computation energy consumption of the network under latency, semantic compression ratio, and UAV location constraints. To solve this non-convex problem, we propose an alternating algorithm. Numerical results show the effectiveness of the proposed algorithm. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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An AoI-Guaranteed Sensor Data Collection Strategy for RIS-assisted UAV Communication System

An AoI-Guaranteed Sensor Data Collection Strategy for RIS-as...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Yang, Bowen Yu, Yao Li, Jianqi Xu, Tongze Deng, Der-Jiunn Chin, Hui-Hsin Li, Yonghui Northeastern University School of Computer Science and Engineering Shenyang China National Changhua University of Education Department of Computer Science and Information Engineering China Overseas Chinese University Department of Information Technology China University of Sydney School of Electrical and Information Engineering Sydney Australia Northeastern University Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Shenyang China

ISBN: (纸本)9798350345384

The recently proposed concept of Age of Information (AoI) measures the freshness of the sensor data sampled by remote Internet of Things (IoT) devices, which is an important indicator for the smart city. Unmanned Aerial Vehicles (UAV) communication can significantly reduce the sensor data's AoI due to its high maneuverability. However, the UAV's high energy consumption remains a challenging issue. In this paper, we propose a Reconfigurable Intelligent Surface (RIS) assisted UAV data collection framework to minimize UAV energy consumption. By adjusting the phase of the RIS, the UAV can collect more sensor data simultaneously. A RIS phase alignment method is introduced to reduce the complexity of RIS phase solving. The IoT devices are clustered to discretize UAV trajectory. The optimal clustering scheme to maximize the AoI suppression efficiency is found by adjusting the RIS phase alignment points continuously. Therefore, the AoI requirement can be achieved with a shorter UAV flight distance. Finally, the UAV trajectory is solved by the Deep Q network (DQN) algorithm to guarantee the long-term AoI requirement. Simulation results validate the effectiveness of the proposed method. © 2023 IEEE.

关键词： Maneuverability

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Design of awideband symmetric large back-off range Doherty power amplifier based on impedance and phase hybrid optimization

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Frontiers of Information Technology & Electronic engineering 2025年第1期26卷 146-156页

作者： Zhongpeng NI Jing XIA Xinyu ZHOU Wa KONG Wence ZHANG Xiaowei ZHU School of Computer Science and Communication Engineering Jiangsu UniversityZhenjiang 212013China Department of Electrical and Electronic Engineering The Hong Kong Polytechnic UniversityHong Kong 999077China State Key Laboratory of Millimeter Waves Southeast UniversityNanjing 210096China

The present paper proposes an optimization design method for the Doherty output matching network(OMN)using impedance–phase hybrid objective function constraints,which possesses the capability of enhancing the efficiency consistency of the Doherty power amplifier(DPA)using integrated enhancing reactance(IER)during the back-off power(BOP)*** calculating the desired reactance for an extended BOP range and combining it with the two-impedance matching method,the S-parameters of the OMN are ***,the impedance and phase constraints of the OMN are proposed to narrow the distribution range of the ***,a fragmenttype structure is employed in the OMN optimization so as to enhance the flexibility of the circuit optimization *** validate the proposed method,a 1.7–2.5 GHz symmetric DPA with a large BOP range was designed and *** results demonstrate that across the entire operating frequency band,the saturated output power is>44 dBm,and the efficiency ranges from 45%to 55%at a 9-dB BOP.

关键词： Back-off power range Doherty power amplifier Fragment-type structure Impedance-phase hybrid function

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Large-scale phase retrieval

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Light(science & Applications) 2021年第10期10卷 1814-1815页

作者： Gabriel Popescu Quantitative Light Imaging Laboratory Department of Electrical and Computer EngineeringBeckman Institute for Advanced Science and TechnologyUniversity of Illinois at Urbana-ChampaignUrbanaIL 61801USA

The coherent interaction between an electromagnetic field and a 3D weakly scattering medium results in a simple Fourier transform relationship between the object’s structure and the complex scattered *** a result,knowledge about the phase of the scattered field is necessary for solving this inverse problem with a unique ***,in applications,such as X-ray crystallography,typically one only has experimental access to the amplitude of the diffracted field,which results in ambiguities of the *** century-old challenge,known as“the phase problem”2 motivated the development of computational algorithms combined with a priori knowledge about the object of interest to limit the solution *** generally successful,this approach sometimes led to multiple solutions,i.e.,different inferred object structures for the same set of data:“Not all the guesses have been *** is clear,for example,from the following:Two different structures were predicted for the mineral bixbyite,one by ***,the other by *** is not known which,if either,is correct.”(Chapter 7 in ref.2).

关键词： phase scattered typically

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Approximate k-Nearest Neighbor Query over Spatial Data Federation 28th

Approximate k-Nearest Neighbor Query over Spatial Data Fede...

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28th International Conference on Database Systems for advanced Applications, DASFAA 2023

作者： Zhang, Kaining Tong, Yongxin Shi, Yexuan Zeng, Yuxiang Xu, Yi Chen, Lei Zhou, Zimu Xu, Ke Lv, Weifeng Zheng, Zhiming State Key Laboratory of Software Development Environment Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing School of Computer Science and Engineering and Institute of Artificial Intelligence Beihang University Beijing China Department of Computer Science and Engineering HKUST Hong Kong Guangzhou China City University of Hong Kong Hong Kong

ISBN: (纸本)9783031306365

Approximate nearest neighbor query is a fundamental spatial query widely applied in many real-world applications. In the big data era, there is an increasing demand to scale these queries over a spatial data federation, which consists of multiple data owners, each holding a private, disjoint partition of the entire spatial dataset. However, it is non-trivial to enable approximate k-nearest neighbor query over a spatial data federation. This is because stringent security constraints are often imposed to protect the sensitive, privately owned data partitions, whereas naively extending prior secure query processing solutions leads to high inefficiency (e.g., 100 s per query). In this paper, we propose two novel algorithms for efficient and secure approximate k-nearest neighbor query over a spatial data federation. We theoretically analyze their communication cost and time complexity, and further prove their security guarantees and approximation bounds. Extensive experiments show that our algorithms outperform the state-of-the-art solutions with respect to the query efficiency and often yield a higher accuracy. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Nearest neighbor search

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First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data

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science China Earth sciences 2024年第10期67卷 3252-3269页

作者： Weiwei SUN Gang YANG Yuling HUANG Dehua MAO Ke HUANG Lin ZHU Xiangchao MENG Tian FENG Chao CHEN Yong GE Department of Geography and Spatial Information Techniques Ningbo UniversityNingbo 315211China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences&Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Natural Resources and Planning Bureau Shanghai Pudong New DistrictShanghai 200100China Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun 130102China Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China School of Geography Science and Geomatics Engineering Suzhou University of Science and TechnologySuzhou 215009China

Wetland degradation has been accelerating in recent years globally. Accurate information on the geographic distribution and categories of wetlands is essential for their conservation and management. Despite being the world′s fourth largest continent, South America has limited research on wetland mapping, and there is currently no available map that provides comprehensive information on wetland distribution and categories in the region. To address this issue, we used Sentinel-1, Sentinel-2 and SRTM data, developed a sample collection method and a wetland mapping method with a collection of multi-source features such as optical features, polarization features and shape features for South American wetlands. We produced a 10-m resolution wetland map based on the Google Earth Engine(GEE) platform. Our Level-1 wetland cover map accurately captured six wetland sub-categories with an overall accuracy of 96.24% and a kappa coefficient of 0.8649, while our Level-2 water cover map included five sub-categories with an overall accuracy of 97.23% and a kappa coefficient of0.9368. The results show that the total area of existing wetlands in South America is approximately 1,737,000 km~2, which is6.8% of the total land area. Among the ten wetland categories, shallow sea had the largest area(960,527.4 km~2), while aquaculture ponds had the smallest area 1513.6 km~2. Swamp had the second largest area(306,240.1 km~2). Brazil, Argentina,Venezuela, Bolivia, and Colombia were found to have the largest wetland areas, with Brazil and Colombia having the most diverse wetland categories. This product can serve as baseline data for subsequent monitoring, management, and conservation of South American wetlands.

关键词： Wetland mapping Google Earth Engine Sentinel imagery South America

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Capacity Maximization for V2I-VLC System with Angular Diversity Receiver 3

Capacity Maximization for V2I-VLC System with Angular Divers...

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3rd IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2023

作者： Yahia, Selma Meraihi, Yassine Cherif, Amar Ramdane Eldeeb, Hossien B. Muhaidat, Sami Ho, Tu Dac University of m'Hamed Bougara Boumerdes List Laboratory Boumerdes35000 Algeria University of Versailles St-Quentin-en-Yvelines Lisv Laboratory Velizy78140 France Khalifa University Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates UiT Arctic University of Norway Faculty of Engineering Science and Technology Department of Electrical Engineering Norway

ISBN: (纸本)9798350333732

This paper investigates the effectiveness of angle diversity technology-based vehicle-to-infrastructure (V2I) visible light communication (VLC) system designed for a multi-lane road scenario. Cars use their headlights to transmit signals to a traffic light pole, which is equipped with an angle diversity receiver (ADR) comprising three photodetectors (PD) arranged in different directions to improve signal reception from various directions. We utilize an advanced ray tracing channel modeling approach and investigate the impact of the number of PDs and the elevation angles on the received power. Additionally, we conduct a comprehensive performance analysis in terms of capacity, considering different car positions along the road. The results demonstrate that the V2I-VLC system with ADR achieves a channel capacity of over 2.5 Mb/s at a transmission distance of 50 meters, highlighting its potential to enhance V2I-VLC connectivity. © 2023 IEEE.

关键词： Visible light communication

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Quantum correlations in multimode nonlinear optics

Quantum correlations in multimode nonlinear optics

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Uddin, Shiekh Zia Sloan, Jamison Rivera, Nicholas Pontula, Sahil Salamin, Yannick Birk, Michael Sidorenko, Pavel Kaminer, Ido Soljačić, Marin Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics Harvard University CambridgeMA02138 United States Department of Electrical and Computer Engineering Solid State Institute Technion Israel Institute of Technology Haifa32000 Israel

We develop a framework describing quantum noise propagation in highly spatially multimode nonlinear optical systems. We predict quantum deviations of the spatial intensity noise distribution from the spatial power dis... 详细信息

关键词： Quantum noise

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A Game-Theoretic Framework for Distributed Load Balancing: Static and Dynamic Game Models

arXiv

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arXiv 2025年

作者： Fardno, Fatemeh Rasoul Etesami, S. The Department of Electrical and Computer Engineering and Coordinated Science Laboratory University of Illinois Urbana-Champaign UrbanaIL61801 United States The Department of Industrial and Systems Engineering Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois Urbana-Champaign UrbanaIL61801 United States

Motivated by applications in job scheduling, queuing networks, and load balancing in cyber-physical systems, we develop and analyze a game-theoretic framework to balance the load among servers in both static and dynamic settings. In these applications, jobs/tasks are often held by selfish entities that do not want to coordinate with each other, yet the goal is to balance the load among servers in a distributed manner. First, we provide a static game formulation in which each player holds a job with a certain processing requirement and wants to schedule it fractionally among a set of heterogeneous servers to minimize its average processing time. We show that this static game is a potential game and admits a pure Nash equilibrium (NE). In particular, the best-response dynamics converge to such an NE after n iterations, where n is the number of players. We then extend our results to a dynamic game setting, where jobs arrive and get processed in the system, and players observe the load (state) on the servers to decide how to schedule their jobs among the servers in order to minimize their averaged cumulative processing time. In this setting, we show that if the players update their strategies using dynamic best-response strategies, the system eventually becomes fully load-balanced and the players' strategies converge to the pure NE of the static game. In particular, we show that the convergence time scales only polynomially with respect to the game parameters. Finally, we provide numerical results to evaluate the performance of our proposed algorithms under both static and dynamic settings. Copyright © 2025, The Authors. All rights reserved.

关键词： Queueing networks

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Full-Wave Simulations Using Fast Hybrid Method for L-Band Microwave Propagation in Forested Areas

Full-Wave Simulations Using Fast Hybrid Method for L-Band Mi...

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Antennas and Propagation & USNC/URSI National Radio science Meeting

作者： Jongwoo Jeong Leung Tsang Zhenming Huang Haokui Xu Andreas Colliander Department of Electrical Engineering and Computer Science University of Michigan Jet Propulsion Laboratory California Institute of Technology

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

We perform full-wave simulations of propagation of L-band microwave signals in forested areas to study forest effects on microwave remote sensing, wireless communications, and hidden object detection. Initially, full-wave simulations of forests were limited to eight-meter-tall trees. With the aid of computational enhancement by a fast hybrid method (FHM) solving Maxwell's equations, a height of trees extends to 13 m followed by 17 m. The FHM applies to 91 trees of a height of 17 m, where the volumetric space in the simulation domain is equivalent to 133 wavelengths by 133 wavelengths and 80 wavelengths. We will continue to investigate the effects of tapering and bifurcated trunks, as well as the presence of leaves, on microwave remote sensing. We illustrate the spatial distribution of electric fields under forests. Computational efficiency of the FHM is also discussed. The results indicate that L-band microwave signals can penetrate through forests, enabling the detection of soil and objects below, and GPS signals can be successfully received by receivers beneath forested areas.

关键词： Computational modeling Forestry Vegetation Microwave communication Soil Microwave theory and techniques Mathematical models

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