Volume 47 Issue 6
Jun.  2021
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LUO Yizhe, DING Wenrui, LEI Yaolin, et al. Throughput optimization for cellular communication on tethered unmanned aerial vehicle base station[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(6): 1161-1172. doi: 10.13700/j.bh.1001-5965.2020.0136(in Chinese)
Citation: LUO Yizhe, DING Wenrui, LEI Yaolin, et al. Throughput optimization for cellular communication on tethered unmanned aerial vehicle base station[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(6): 1161-1172. doi: 10.13700/j.bh.1001-5965.2020.0136(in Chinese)

Throughput optimization for cellular communication on tethered unmanned aerial vehicle base station

doi: 10.13700/j.bh.1001-5965.2020.0136
Funds:

Defense Industrial Technology Development Program JCKY2017601C006

ional Key R · D Program of China 2016YFB0502602

More Information
  • Corresponding author: DING Wenrui, E-mail: ding@buaa.edu.cn
  • Received Date: 10 Apr 2020
  • Accepted Date: 03 Jul 2020
  • Publish Date: 20 Jun 2021
  • Considering the problems of uneven distribution of the number of ground users and serious co-channel interference of multi Unmanned Aerial Vehicle (UAV) cooperative services when multiple tethered UAV aerial base stations are used to provide air-ground two-way communication services to multiple communities, this paper proposes a throughput optimization method with both aerial base station height and link transmission direction optimized. This method determines the co-frequency link pairing and drone/user pairing by using the maximum co-frequency link criterion and the nearest service criterion. By optimizing the drone height and link transmission direction, the average throughput of the system is improved and the co-frequency interference between users is reduced. The verification results in various scenarios show that the proposed method is significantly better than non-joint-optimization comparative methods that do not jointly optimize the link transmission direction and the height of aerial base station. When the number of users in a congested community is 1-36 times the number of users in a non-congested community, compared with the comparative methods, the proposed method can improve the average throughput of the system by about 8 times.

     

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