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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Energy-efficient full-duplex UAV relaying networks: Trajectory design for channel-model-free scenarios

  • Qi, Nan (The Key Laboratory of Dynamic Cognitive Systems of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics) ;
  • Wang, Wei (The Key Laboratory of Dynamic Cognitive Systems of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics) ;
  • Ye, Diliao (Telefonaktiebolaget LM Ericsson) ;
  • Wang, Mei (The Key Laboratory of Dynamic Cognitive Systems of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics) ;
  • Tsiftsis, Theodoros A. (The Institute of Physical Internet, Intelligent Systems Science, and Engineering, Jinan University (Zhuhai Campus)) ;
  • Yao, Rugui (School of Electronics and Information, Northwestern Polytechnical University)
  • Received : 2020.02.26
  • Accepted : 2020.11.25
  • Published : 2021.06.01
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Abstract

In this paper, we propose an energy-efficient unmanned aerial vehicle (UAV) relaying network. In this network, the channels between UAVs and ground transceivers are model-free. A UAV acting as a flying relay explores better channels to assist in efficient data delivery between two ground nodes. The full-duplex relaying mode is applied for potential energy efficiency (EE) improvements. With the genetic algorithm, we manage to optimize the UAV trajectory for any arbitrary radio map scenario. Numerical results demonstrate that compared to other schemes (eg, fixed trajectory/speed policies), the proposed algorithm performs better in terms of EE. Additionally, the impact of self-interference on average EE is also investigated.

Keywords

Acknowledgement

National Natural Science Foundation of China (No. 61801218, 61871327, 61941104, 61827801), Natural Science Foundation of Jiangsu Province (No. BK20180424), and Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology (No. KF20181917).

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