作者： Xiaqing Miao¹;Yunkang Liu^2,3;Haoxing Zhang¹;Hui Zhao⁴;Shuai Wang¹;Gaofeng Pan¹;Jianping An¹; （¹School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China ²School of Information and Electronics, Beijing Institute of Technology, Beijing, China ³27th Research Institute of China Electronics Technology Group Corporation, Zhengzhou, China ⁴Communication Systems Department, EURECOM, Sophia Antipolis, France）

出处： IEEE Transactions on Aerospace and Electronic Systems 2024 Vol.60 No.1 P291-303

关键词： Satellites;Satellite communication;Security;Analytical models;Satellite broadcasting;Roads;Relays;Random Distribution;Communication Systems;Satellite Communication;Multiple Antennas;Internet Of Vehicles;Performance Of Communication Systems;Outage Performance;Monte Carlo Simulation;Theoretical Analysis;Probability Density Function;Cybersecurity;Line-of-sight;Unmanned Aerial Vehicles;Complex Scenarios;Average Gain;Beamforming;Bottom Of Page;Target System;Non-orthogonal Multiple Access;Hypergeometric Function;Legitimate Receiver;Line-of-sight Component;Orbital Height;Secure Transmission;Communication Scenarios;Channel Power Gain;Satellite Communication Systems

摘要： With the development of satellite communication technology, the application of satellites in the Internet of Vehicles (IoV) system can effectively sol ...

作者： Yinchuan Li¹;Yuancheng Zhan²;Le Zheng^3,4;Xiaodong Wang¹; （¹Electrical Engineering Department, Columbia University, New York, NY, USA ²School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore ³Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing, China ⁴Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China）

出处： IEEE Transactions on Communications 2024 Vol.72 No.2 P1062-1074

关键词： Millimeter wave communication;Channel estimation;Compressed sensing;Approximation algorithms;Antennas;Massive MIMO;Monte Carlo methods;Channel Activity;Channel Estimation;Massive MIMO;Device Activity Detection;Simulation Results;Monte Carlo Simulation;Active Users;Base Station;Lipschitz Continuous;State Evolution;User Channel;mmWave Channel;5G Wireless Communication;Computational Complexity;Internet Of Things;False Alarm;Performance Loss;Noise Power;False Alarm Rate;Minimum Mean Square Error;Normalized Mean Square Error;Semidefinite Programming;Channel Sparsity;Pilot Sequences;Orthogonal Frequency Division Multiplexing;mmWave Communication;Discrete Grid;Rayleigh Fading;Direct Solver;Asymptotic Regime

摘要： Millimeter-Wave Massive MIMO is important for beyond 5G or 6G wireless communication networks. The goal of this paper is to establish successful commu ...

作者： Zhen Gao^1,2,3;Malong Ke⁴;Yikun Mei⁵;Li Qiao^5,6;Sheng Chen⁷;Derrick Wing Kwan Ng⁸;H. Vincent Poor⁹; （¹MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China ²Yangtze Delta Region Academy, Beijing Institute of Technology (Jiaxing), Jiaxing, China ³Advanced Technology Research Institute, Beijing Institute of Technology, Jinan, China ⁴Wireless Product Division, Ruijie Network Company Ltd., Fuzhou, China ⁵School of Information and Electronics, Beijing Institute of Technology, Beijing, China ⁶5GIC & 6GIC, Institute for Communication Systems, University of Surrey, Guildford, U.K. ⁷School of Electronics and Computer Science, University of Southampton, Southampton, U.K. ⁸School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia ⁹Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA）

出处： IEEE Internet of Things Journal 2024 Vol.11 No.5 P7411-7435

关键词： Internet of Things;6G mobile communication;Uplink;Wireless communication;Low-power wide area networks;Standards;Monitoring;Massive Communication;Grant-free Massive Access;Base Station;Academic Community;Random Access;Industrial Communities;Massive Multiple-input Multiple-output;Heterogeneous Devices;Random Scenario;Ubiquitous Connectivity;Internet Of Things;Sparse Matrix;Active Devices;Spectral Efficiency;Channel Estimation;Internet Of Things Applications;Channel Matrix;Sparse Structure;Non-orthogonal Multiple Access;Base Station Antennas;Non-orthogonal Multiple Access Scheme;Orthogonal Multiple Access;Low Power Wide Area Networks;Channel Impulse Response;Channel Sparsity;Power-domain Non-orthogonal Multiple Access;Access Latency;Time-frequency Resource;Signals Of Devices;Signaling Overhead

摘要： The envisioned sixth-generation (6G) of wireless communications is expected to give rise to the necessity of connecting very large quantities of heter ...

作者： Zhengyan Zhang^1,2;Xiaodong Qu^1,2;Wolin Li^1,2;Hongzhe Miao^1,2;Fengrui Liu^1,2; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²Key Laboratory of Electronic and Information Technology in Satellite Navigation, Ministry of Education, Beijing, China）

出处： IEEE Signal Processing Letters 2024 Vol.31 P701-705

关键词： Estimation;Direction-of-arrival estimation;Training;Interference;Signal to noise ratio;Covariance matrices;Unsupervised learning;Unsupervised Learning;Direction Of Arrival Estimation;Direction Of Arrival Estimation Method;Unsupervised Learning Network;Loss Function;Numerical Simulations;Estimation Performance;Penalty Term;Direct Signal;Strong Interference;Interference Power;Influence Of Interference;Root Mean Square Error;Training Set;Monte Carlo Simulation;Convolutional Neural Network;Covariance Matrix;Weak Signal;Radiation Source;Spatial Domain;Uniform Linear Array;Sparse Bayesian Learning;ResNet Block;Unsupervised Strategy;Uniform Grid;Sparse Method

摘要： In complex electronic countermeasure environment, direction-of-arrival (DOA) is very important for targets detection, localization and tracking. Howev ...

作者： Zhimin Chen^1,2,3;Peng Chen^4,2;Le Zheng^5,6;Yudong Zhang⁷; （¹School of Electronic and Information, Shanghai Dianji University, Shanghai, China ²State Key Laboratory of Integrated Services Networks, Xidian University, Xi\'an, China ³Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong ⁴State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China ⁵Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing, China ⁶Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China ⁷School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K.）

出处： IEEE Transactions on Vehicular Technology 2024 Vol.73 No.2 P1792-1802

关键词： Estimation;Direction-of-arrival estimation;Sensors;Reflection;Mutual coupling;Channel estimation;Wireless communication;Reconfigurable Intelligent Surface;Direction Of Arrival Estimation;Direction Of Arrival Estimation Method;Practical Reconfigurable Intelligent Surface;Model System;Wireless;Computational Complexity;Deep Neural Network;Low Complexity;Phase Shift;Estimation Performance;Spatial Domain;Low Computational Complexity;Mutual Effect;Mutual Coupling;Semidefinite Programming;Problem Scenario;Intelligent Reflecting Surface;Mutual Coupling Effect;Reconfigurable Intelligent Surface Elements;Adjacent Elements;Performance In Scenarios;Semidefinite Programming Problem;Unmanned Aerial Vehicles;Reflection Signal;Reflection Coefficient;Fast Fourier Transform Method;Orthogonal Matching Pursuit;Low Earth Orbit;Root Mean Square Error

摘要： Reconfigurable intelligent surface (RIS) or intelligent reflecting surface (IRS) has been an attractive technology for future wireless communication a ...

作者： Cheng Zhan¹;Han Hu²;Jing Wang³;Zhi Liu⁴;Shiwen Mao⁵; （¹School of Computer and Information Science, Southwest University, Chongqing, China ²School of Information and Electronics, Beijing Institute of Technology, Beijing, China ³Renming University of China, Beijing, China ⁴Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan ⁵Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA）

出处： IEEE Transactions on Mobile Computing 2024 Vol.23 No.4 P2976-2991

关键词： Autonomous aerial vehicles;Sensors;Cellular networks;Surveillance;Wireless sensor networks;Trajectory;Data collection;Operation Time;Cellular Networks;Age Of Information;Unmanned Aerial Vehicles;Local Environment;Sensor Data;Data Transmission;Average Performance;Base Station;Convex Optimization;Deep Reinforcement Learning;Suboptimal Solution;Sum Of Time;Mixed-integer Nonlinear Programming;Deep Reinforcement Learning Algorithm;Unmanned Aerial Vehicle Trajectory;Ground Base Stations;Mixed-integer Nonlinear Programming Problem;Unmanned Aerial Vehicles Operations;Transmission Scheduling;Double Deep Q-network;Unmanned Aerial Vehicle Flies;Traveling Salesman Problem;Time Slot;Unmanned Aerial Vehicle Position;Target Location;Markov Decision Process;Trajectory Optimization;Benchmark Schemes;Ground Users

摘要： Unmanned aerial vehicles (UAVs) have a significant potential for sensing applications in further cellular networks due to their extensive coverage and ...

作者： Cheng Zhan¹;Han Hu²;Zhi Liu³;Jing Wang⁴;Nan Cheng⁵;Shiwen Mao⁶; （¹School of Computer and Information Science, Southwest University, Chongqing, China ²School of Information and Electronics, Beijing Institute of Technology, Beijing, China ³Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan ⁴School of Information, Renmin University of China, Beijing, China ⁵State Key Laboratory of ISN and the School of Telecommunications Engineering, Xidian University, Xi’an, China ⁶Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA）

出处： IEEE Transactions on Wireless Communications 2024 Vol.23 No.2 P1432-1446

关键词： Streaming media;Autonomous aerial vehicles;Three-dimensional displays;Quality of experience;Trajectory;Cellular networks;Urban areas;Cellular Networks;3D Network;Environment Map;Aerial Video;3D Cellular Network;Efficient Algorithm;Unmanned Aerial Vehicles;Quality Of Experience;Path Planning;Video Quality;Video Rate;Unmanned Aerial Vehicle Trajectory;Block Coordinate Descent;Baseline Schemes;Video Services;Transmission Scheduling;Neural Network;Time Duration;Grid Points;Base Station;Deep Reinforcement Learning;Unmanned Aerial Vehicle Flies;Trajectory Design;Unmanned Aerial Vehicles Operations;Complex Urban Environments;Line-of-sight Links;Achievable Rate;Objective Value;Building Height;Graph Algorithms

摘要： Aerial video streaming is a promising application of unmanned aerial vehicles (UAVs), which extends video service from ground to three-dimensional (3D ...

作者： Qingqing Tang¹;Zesong Fei¹;Bin Li²;Hanxiao Yu¹;Qimei Cui³;Jingwen Zhang¹;Zhu Han^4,5; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²School of Computer Science, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China ³National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China ⁴Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA ⁵Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea）

出处： IEEE Internet of Things Journal 2024 Vol.11 No.4 P5638-5652

关键词： Task analysis;Low earth orbit satellites;Satellite broadcasting;Satellites;Optimization;Resource management;Delays;Digital Networks;Edge Computing;Computation Offloading;LEO Satellite;Edge Computing Networks;Satellite Edge Computing;Resource Allocation;Total Cost;Optimization Algorithm;Computational Resources;Average Cost;Joint Optimization;Deep Reinforcement Learning;Allocation Decisions;Power Cost;Online Algorithm;Resource Allocation Decisions;Deep Reinforcement Learning Algorithm;Time-varying Channel;Satellite Networks;Computation Tasks;Mobile Edge Computing;Queue Length;Mixed-integer Nonlinear Programming;Unmanned Aerial Vehicles;Terrestrial Networks;Resource Allocation Problem;Optimal Resource Allocation;Replay Memory;Amount Of Tasks

摘要： The deployment of mobile edge computing services in LEO satellite networks achieves seamless coverage of computing services. However, the time-varying ...

作者： Wang, Peisen¹; Ye, Neng²; Wang, Aihua¹; Liu, Wenjia³; Hou, Xiaolin³ （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China;²School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China;³DOCOMO Beijing Communications Laboratories Co., Ltd., Beijing, China）

出处： IEEE Transactions on Vehicular Technology 2024 P1-6

作者： Liu, Jiahao¹; Yu, Jihong¹; Zhang, Rongrong²; Wang, Shuai¹; Yang, Kai¹; An, Jianping³ （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China;²Information Engineering College, Capital Normal University, Beijing, China;³School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Communications 2024 P1-1