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Volume 42 Issue 8
Aug.  2020
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Xinyu DA, Hongwei ZHANG, Hang HU, Yu PAN, Jinling JING. Throughput Optimization of Secondary Link in Cognitive UAV Network[J]. Journal of Electronics & Information Technology, 2020, 42(8): 1934-1941. doi: 10.11999/JEIT200056
Citation: Xinyu DA, Hongwei ZHANG, Hang HU, Yu PAN, Jinling JING. Throughput Optimization of Secondary Link in Cognitive UAV Network[J]. Journal of Electronics & Information Technology, 2020, 42(8): 1934-1941. doi: 10.11999/JEIT200056

Throughput Optimization of Secondary Link in Cognitive UAV Network

doi: 10.11999/JEIT200056
Funds:  The National Natural Science Foundation of China (61571460, 61901509, 61671475), The National Postdoctoral Program for Innovative Talents (BX201700108), The President Foundation of Air Force Engineering University (XZJK2019033), The Innovation Foundation of Air Force Engineering University (YNLX1904025)
  • Received Date: 2020-01-14
  • Rev Recd Date: 2020-04-30
  • Available Online: 2020-07-08
  • Publish Date: 2020-08-18
  • The application of Unmanned Air Vehicles (UAV)-enabled Cognitive Radio (CR) is widely used due to the convenience and high mobility of the UAV. In the UAV-based Cognitive Radio Network (CRN), the throughput optimization scheme in single radian is firstly investigated, in which the sensing radian is optimized to maximize the average throughput of UAV. Then, a multi-radian throughput optimization scheme based on Cooperative Spectrum Sensing (CSS) is studied to improve the sensing performance under the non-ideal channel, and the throughput of the UAV is maximized by utilizing an Alternative Iterative Optimization (AIO) algorithm. The simulation results show that the proposed scheme has better performance on improving the throughput of the UAV and ensuring the Quality-of-Service (QoS) of the Primary User (PU) when the channel fading is serious.

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