A Wind Trajectory Design Incorporating Multiple Transfers Between Libration Points

Energy-efficient UAV trajectory design for backscatter communication: A deep reinforcement learning approach

China Communications ◽

10.23919/jcc.2020.10.009 ◽

2020 ◽

Vol 17 (10) ◽

pp. 129-141

Author(s):

Yiwen Nie ◽

Junhui Zhao ◽

Jun Liu ◽

Jing Jiang ◽

Ruijin Ding

Keyword(s):

Reinforcement Learning ◽

Energy Efficient ◽

Learning Approach ◽

Trajectory Design ◽

Backscatter Communication

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Low-Thrust Trajectory Design for a Low-Cost Multiple Asteroid Rendezvous and Sample Return Mission

10.2514/6.iac-04-q.p.20 ◽

2004 ◽

Keyword(s):

Low Cost ◽

Trajectory Design ◽

Low Thrust ◽

Sample Return ◽

Sample Return Mission

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Trajectory Design for UAV-Assisted Emergency Communications: A Transfer Learning Approach

GLOBECOM 2020 - 2020 IEEE Global Communications Conference ◽

10.1109/globecom42002.2020.9348212 ◽

2020 ◽

Author(s):

Xinruo Zhang ◽

Gan Zheng ◽

Sangarapillai Lambotharan

Keyword(s):

Transfer Learning ◽

Learning Approach ◽

Trajectory Design ◽

Emergency Communications

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Trajectory Design for the Aerial Base Stations to Improve Cellular Network Performance

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2021.3049367 ◽

2021 ◽

pp. 1-1

Author(s):

Behzad Khamidehi ◽

Elvino Silveira Sousa

Keyword(s):

Cellular Network ◽

Network Performance ◽

Base Stations ◽

Trajectory Design

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Energy and Service-Priority aware Trajectory Design for UAV-BSs using Double Q-Learning

2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC) ◽

10.1109/ccnc49032.2021.9369472 ◽

2021 ◽

Author(s):

Sayed Amir Hoseini ◽

Ayub Bokani ◽

Jahan Hassan ◽

Shavbo Salehi ◽

Salil S. Kanhere

Keyword(s):

Trajectory Design ◽

Q Learning ◽

Service Priority

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Mobility-Aware Trajectory Design for Aerial Base Station Using Deep Reinforcement Learning

2020 International Conference on Wireless Communications and Signal Processing (WCSP) ◽

10.1109/wcsp49889.2020.9299676 ◽

2020 ◽

Author(s):

Guoliang Hao ◽

Wanli Ni ◽

Hui Tian ◽

Leilei Cao

Keyword(s):

Reinforcement Learning ◽

Base Station ◽

Trajectory Design

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Stationkeeping controllers for Earth–Moon L1 and L2 libration points halo orbits

Journal of the Brazilian Society of Mechanical Sciences and Engineering ◽

10.1007/s40430-021-03071-9 ◽

2021 ◽

Vol 43 (7) ◽

Author(s):

Thiago César Lousada Marsola ◽

Sandro da Silva Fernandes ◽

José Manoel Balthazar

Keyword(s):

Libration Points ◽

Halo Orbits ◽

L1 And L2

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Explicit solution and resonance dynamics around triangular libration points of the planar elliptic restricted three-body problem

Celestial Mechanics and Dynamical Astronomy ◽

10.1007/s10569-021-10028-6 ◽

2021 ◽

Vol 133 (7) ◽

Author(s):

Pan Tan ◽

Xi-Yun Hou ◽

Xin-Hao Liao

Keyword(s):

Explicit Solution ◽

Body Problem ◽

Libration Points ◽

Restricted Three Body Problem ◽

Three Body Problem ◽

Triangular Libration Points ◽

Three Body

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An Overview of Trajectory Design Operations for the Microwave Anisotropy Probe Mission

AIAA/AAS Astrodynamics Specialist Conference and Exhibit ◽

10.2514/6.2002-4425 ◽

2002 ◽

Cited By ~ 7

Author(s):

Osvaldo Cuevas ◽

Lauri Kraft-Newman ◽

Michael Mesarch ◽

Mark Woodard

Keyword(s):

Trajectory Design ◽

Probe Mission

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Jointly Optimal Fair Data Collection and Trajectory Design Algorithms in UAV-Aided Cellular Networks

2021 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc49053.2021.9417581 ◽

2021 ◽

Author(s):

Dan Song ◽

Xiangping Bryce Zhai ◽

Xin Liu ◽

Chee Wei Tan

Keyword(s):

Data Collection ◽

Cellular Networks ◽

Trajectory Design ◽

Design Algorithms

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