TRAJECTORY

作品数：739被引量：1490H指数：13
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相关领域：自动化与计算机技术更多>>
相关作者：左绿水姚海琳朱灏胡平杰王昶更多>>
相关机构：东南大学温州医科大学中国科学技术大学中南大学更多>>
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相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家教育部博士点基金更多>>
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Joint Optimization of Resource Allocation and Trajectory Based on User Trajectory for UAV-Assisted Backscatter Communication System
《China Communications》2024年第2期197-209,共13页Peizhong Xie Junjie Jiang Ting Li Yin Lu 
The Backscatter communication has gained widespread attention from academia and industry in recent years. In this paper, A method of resource allocation and trajectory optimization is proposed for UAV-assisted backsca...
关键词：energy efficiency joint optimization UAV-assisted backscatter communication user trajectory 
A Fuzzy Clustering Algorithm Based on Multipath Component Trajectory for Millimeter Wave Radio Channels
《China Communications》2022年第11期99-111,共13页Fei Du Yu Zhang Qingliang Li Xinyue Zhang Bo Zhu Zihao Fu Suiyan Geng Xiongwen Zhao 
supported by the National Key Laboratory of Electromagnetic Environment(No.202101004);the National Nature Science of China(NSFC)(No.61931001),respectively。
Time-varying channel modeling plays an important role for many applications in time-variant scenarios,while most clustering algorithms focus on static channels and cannot accurately model the channel time-evolution pr...
关键词：channel modeling TIME-VARYING clustering multiple path component MPC trajectory 6G 
Trajectory Design for UAV-Enabled Maritime Secure Communications:A Reinforcement Learning Approach
《China Communications》2022年第9期26-36,共11页Jintao Liu Feng Zeng Wei Wang Zhichao Sheng Xinchen Wei Kanapathippillai Cumanan 
supported by the Six Categories Talent Peak of Jiangsu Province(No.KTHY-039);the Future Network Scientific Research Fund Project(No.FNSRFP-2021-YB-42);the Science and Technology Program of Nantong(No.JC2021016);the Key Research and Development Program of Jiangsu Province of China(No.BE2021013-1)。
This paper investigates an unmanned aerial vehicle(UAV)-enabled maritime secure communication network,where the UAV aims to provide the communication service to a legitimate mobile vessel in the presence of multiple e...
关键词：maritime communication networks(MCNs) unmanned aerial vehicles(UAV) reinforcement learning physical layer security trajectory design 
Anti-Jamming Trajectory Design for UAV-Enabled Wireless Sensor Networks Using Communication Flight Corridor被引量：1
《China Communications》2022年第7期37-52,共16页Binbin Wu Bangning Zhang Daoxing Guo Hongbin Wang Hao Jiang 
This paper investigates the anti-jamming trajectory design to safeguard the effective data collection, where a unmanned aerial vehicle(UAV)is dispatched to collect data over multiple sensor nodes(SNs) in jamming envir...
关键词：UAV data collection jamming environment path planning trajectory optimization 
Robust Trajectory and Communication Design for Angle-Constrained Multi-UAV Communications in the Presence of Jammers被引量：3
《China Communications》2022年第2期131-147,共17页Yufang Gao Yang Wu Zhichao Cui Wendong Yang Guojie Hu Shiming Xu 
This paper studies a multi-unmanned aerial vehicle(UAV)enabled wireless communication system,where multiple UAVs are employed to communicate with a group of ground terminals(GTs)in the presence of potential jammers.We...
关键词：ANTI-JAMMING angle constraints robust design multi-UAV communications 3D trajectory optimization 
Joint Power-Trajectory-Scheduling Optimization in A Mobile UAV-Enabled Network via Alternating Iteration被引量：4
《China Communications》2022年第1期136-152,共17页Xiaohan Qi Minxin Yuan Qinyu Zhang Zhihua Yang 
the supports from the National Natural Science Foundation of China (61571156);Basic Research Project of Shenzhen (JCYJ20170413110004682 and JCYJ20150403161923521)。
This work focuses on an unmanned aerial vehicle(UAV)-enabled mobile edge computing(MEC) system based on device-to-device(D2D) communication. In this system, the UAV exhibits caching,computing and relaying capabilities...
关键词：UAV MEC network D2D joint optimization energy efficiency 
Joint 3D Trajectory and Resource Optimization for A UAV Relay-Assisted Cognitive Radio Network被引量：7
《China Communications》2021年第6期184-200,共17页Zhen Wang Fuhui Zhou Yuhao Wang Qihui Wu 
This work was supported by the National Key Research and Development Project under Grant 2020YFB1807602,Natural Science Foundation of China under Grant 62071223,62031012,61701214 and 61661028;by the National Key Scientific Instrument and Equipment Development Project under Grant No.61827801;the Open Project of the Shaanxi Key Laboratory of Information Communication Network and Security under Grant ICNS201701;the Excellent Youth Foundation of Jiangxi Province under Grant 2018ACB21012 and in part by the Young Elite Scientist Sponsorship Program by CAST.
In this paper,we consider a new spectrum sharing scenario for a cognitive relay network,where a secondary unmanned aerial vehicle(UAV)relay receives information from the ground secondary base station(SBS)and transmits...
关键词：cognitive radio UAV communication 3D trajectory design mobile relaying power allocation 
Energy-Efficient UAV Trajectory Design for Backscatter Communication: A Deep Reinforcement Learning Approach被引量：6
《China Communications》2020年第10期129-141,共13页Yiwen Nie Junhui Zhao Jun Liu Jing Jiang Ruijin Ding 
the National Natural Science Foundation of China 61661021,61971191,61902214,and 61871321,in part by the Beijing Natural Science Foundation under Grant L182018,in part by the National Science and Technology Major Project of the Ministry of Science and Technology of China under Grant 2016ZX03001014-006;in part by the open project of Shanghai Institute of Microsystem and Information Technology(20190910);in part by the Key project of Natural Science Foundation of Jiangxi Province(20202ACBL202006);in part by the open project of Key Laboratory of Wireless Sensor Network&Communication,Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,865 Changning Road,Shanghai 200050 China,and in part by the Tsinghua University Initiative Scientific Research Program 2019Z08QCX19.
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 ...
关键词：unmanned aerial vehicle(UAV) trajectory design backscatter communication deep reinforcement learning ENERGY-EFFICIENT 
CLEAN:Frequent Pattern-Based Trajectory Compression and Computation on Road Networks被引量：1
《China Communications》2020年第5期119-136,共18页Peng Zhao Qinpei Zhao Chenxi Zhang Gong Su Qi Zhang Weixiong Rao 
National Natural Science Foundation of China (Grant No. 61772371,No. 61972286)
The volume of trajectory data has become tremendously huge in recent years. How to effectively and efficiently maintain and compute such trajectory data has become a challenging task. In this paper, we propose a traje...
关键词：trajectory compression pattern mining spatial-temporal compressions range query CLUSTERING 
A Trajectory Prediction Based Intelligent Handover Control Method in UAV Cellular Networks被引量：3
《China Communications》2019年第1期1-14,共14页Bo Hu Hanzhang Yang Lei Wang Shanzhi Chen 
supported in parts by the National Natural Science Foundation of China for Distinguished Young Scholar under Grant 61425012;the National Science and Technology Major Projects for the New Generation of Broadband Wireless Communication Network under Grant 2017ZX03001014
The airborne base station(ABS) can provide wireless coverage to the ground in unmanned aerial vehicle(UAV) cellular networks.When mobile users move among adjacent ABSs,the measurement information reported by a single ...
关键词：UAV AIRBORNE base STATION HANDOVER control TRAJECTORY prediction DEEP learning 
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