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Volume 45 Issue 2
Feb.  2023
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LIANG Chengchao, DUAN Ruiji, MA Shiqing, TANG Lun, CHEN Qianbin. Joint Beam Hopping Scheduling and Power Allocation of LEO Satellites Oriented Energy Efficiency[J]. Journal of Electronics & Information Technology, 2023, 45(2): 436-445. doi: 10.11999/JEIT220392
Citation: LIANG Chengchao, DUAN Ruiji, MA Shiqing, TANG Lun, CHEN Qianbin. Joint Beam Hopping Scheduling and Power Allocation of LEO Satellites Oriented Energy Efficiency[J]. Journal of Electronics & Information Technology, 2023, 45(2): 436-445. doi: 10.11999/JEIT220392

Joint Beam Hopping Scheduling and Power Allocation of LEO Satellites Oriented Energy Efficiency

doi: 10.11999/JEIT220392
Funds:  135 Civil Aerospace Technology Advance Research Project (D030301), The National Natural Science Foundation of China (62001076, 62071078)
  • Received Date: 2022-04-02
  • Rev Recd Date: 2022-11-14
  • Available Online: 2022-11-15
  • Publish Date: 2023-02-07
  • In Low Earth Orbit (LEO) satellite networks, the capacity of satellite payload is limited strictly, and onboard power resource is extremely scarce. Thus, a joint Beam Hopping (BH) scheduling and power allocation scheme is proposed to reduce onboard power resources consumption for the LEO system with BH antennas, while meeting quality of service requirements of users, so that the energy efficiency of the satellite communication system can be improved. Firstly, the joint beam scheduling and power allocation problem with delay constraints is formulated to minimize the power consumption of the satellite system. Considering the time-varying topological characteristics of the system, the original multi-slot optimization problem is transformed into a single-slot optimization problem based on the Lyapunov optimization method, and then the alternate optimization method is employed to obtain the sub-optimal solution of the single-slot problem. Specifically, the beam scheduling subproblem is proved to be convex, the power distribution subproblem is transformed into convex by successive convex approximation and logarithmic transformation, and the corresponding algorithm is proposed to obtain the optimal solution of the subproblems. Simulation results show that the proposed scheme can reduce the onboard power consumption of the satellite while ensuring the average time delay requirement of the users, and the dynamic balance of the delay and the power consumption can be achieved by adjusting the control parameter.
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