Volume 50 Issue 8
Aug.  2024
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DAI T X,XU Z. Multi-beam LEO satellite user grouping and resource allocation algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(8):2575-2584 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0638
Citation: DAI T X,XU Z. Multi-beam LEO satellite user grouping and resource allocation algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(8):2575-2584 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0638

Multi-beam LEO satellite user grouping and resource allocation algorithm

doi: 10.13700/j.bh.1001-5965.2022.0638
Funds:  National Key Research and Development Program of China (2020YFB1806800)
More Information
  • Corresponding author: E-mail:xuzhen@buaa.edu.cn
  • Received Date: 26 Jul 2022
  • Accepted Date: 28 Sep 2022
  • Available Online: 31 Oct 2022
  • Publish Date: 12 Oct 2022
  • Compared with terrestrial network facilities, the resources of satellites are very limited, and the traditional fixed grouping and fixed resource allocation methods lack flexibility and limit the system capacity in the face of the uneven distribution of user geographic locations and traffic demands. User grouping based on user geographic location, using a dynamic beam with flexible direction and flexible beamwidth generated by phased array antennas and time-slicing technology of beam-hopping technique can achieve reasonable allocation and efficient utilization of satellite resources. Reasonable allocation and efficient usage of satellite resources can be achieved through user grouping based on user geographic location, phased array antenna-generated dynamic beam with flexible beamwidth and direction, and time-slicing technology of beam-hopping technique. Then a set of flexible resource allocation strategies for the user grouping scheme is proposed based on the grouping results, and an inter-group resource allocation process is added at the end to prevent the waste of free resources. In comparison to the conventional user grouping and resource allocation technique, the suggested approach can successfully increase system throughput and decrease users’ average queuing delays after experimental data simulation and performance evaluation.

     

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