Energy-efficient full-duplex UAV relaying networks: Trajectory design for channel-model-free scenarios |
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| Authors: | Nan Qi Wei Wang Diliao Ye Mei Wang Theodoros A Tsiftsis Rugui Yao |
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| Affiliation: | 1. The Key Laboratory of Dynamic Cognitive Systems of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China;2. Telefonaktiebolaget LM Ericsson, Stockholm, Sweden;3. The Institute of Physical Internet, Intelligent Systems Science, and Engineering, Jinan University (Zhuhai Campus), Zhuhai, China;4. School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China |
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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. |
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| Keywords: | Energy efficiency full-duplex relaying genetic algorithm model-free channel gain unmanned aerial vehicle |
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