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Energy-Efficient UAV Trajectory Plan for 6G Networks

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Communications, Signal Processing, and Systems (CSPS 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 873))

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Abstract

Leveraging UAVs for access and Altitude Platform Stations (HAPSs) for data backhaul to construct the Air-Ground Integrated Network (AGIN) is a feasible solution to achieve seamless network coverage for remote IoT devices in future 6G era. However, the limited battery of IoT terminals and constrained onboard energy storage of UAVs make system energy-efficiency becomes a new concern. To cope with the challenge, we propose a C-NOMA AGIN model for remote area. Then, we investigate the UAV trajectory plan problem for maximizing system energy efficiency (EE). We provide the solution to obtain the near-optimal UAV trajectory and flight speed. Results prove that the proposed approach is superior to others in terms of EE.

This work was supported in part by the National Natural Science Foundation of China under Grant 62201212, the Natural Science Foundation of Hebei Province under Grant F2022502017, the Zhejiang Key Laboratory of Medical Electronics and Digital Health under Grant MEDH202215, the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources under Grant LAPS21018, the Fundamental Research Funds for the Central Universities under Grant 2021MS002, and the National Key Research and Development Program of China under Grant 2020YFB1806000.

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Authors and Affiliations

  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, 102206, China

    Peng Qin, Xue Wu, Xiongwen Zhao & Honghao Zhao

  2. Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding, 071003, China

    Peng Qin, Xue Wu, Xiongwen Zhao & Honghao Zhao

Authors
  1. Peng Qin
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  2. Xue Wu
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  3. Xiongwen Zhao
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  4. Honghao Zhao
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Corresponding author

Correspondence to Peng Qin .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. Tianjin Normal University, Tianjin, China

    Wei Wang

  3. Dalian University of Technology, Dalian, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Qin, P., Wu, X., Zhao, X., Zhao, H. (2023). Energy-Efficient UAV Trajectory Plan for 6G Networks. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2022. Lecture Notes in Electrical Engineering, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-99-1260-5_18

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  • DOI: https://doi.org/10.1007/978-981-99-1260-5_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1259-9

  • Online ISBN: 978-981-99-1260-5

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