Journal on Communications ›› 2023, Vol. 44 ›› Issue (8): 134-143.doi: 10.11959/j.issn.1000-436x.2023160

• Papers • Previous Articles    

Time-slot allocation algorithm for LEO satellite beam hopping based on non-stationary MAB

Min LIN1, Pengcheng KAN1, Bai ZHAO1, Ming CHENG1, Lyuxi YANG2   

  1. 1 School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
    2 School of Information Science and Engineering, Southeast University, Nanjing 211189, China
  • Revised:2023-08-16 Online:2023-08-01 Published:2023-08-01
  • Supported by:
    The National Natural Science Foundation of China(61971128);The National Natural Science Foundation of China(62301282);Talent Research Start-up Foundation of Nanjing University of Posts and Telecommunications(NY220111);Talent Research Start-up Foundation of Nanjing University of Posts and Telecommunications(NY221009);The Postgraduate Research and Practice Innovation Program of Jiangsu Province(KYCX22_0965)

Abstract:

Aiming at the problem of inadequate adaptation to dynamic changes in cell services in the resource allocation algorithm for hopping beams in low earth orbit (LEO) satellite systems, a time-slot allocation algorithm for LEO satellite beam hopping based on a non-stationary multi-armed bandit (MAB) was proposed.Firstly, the joint optimization problem of slot allocation and beam grading matching was established, with the minimization of the system’s second-order differential capacity as the optimization objective.Secondly, due to the non-convexity and difficulty in direct solution of this problem, a beam grading combination scheme generation algorithm was proposed based on the concept of effective cells and effective critical cells, which generated all possible beam grading combination schemes.Next, a dynamic slot allocation scheme based on the non-stationary MAB model was proposed, and joint optimization of slot allocation and beam grading matching was completed under the optimal beam grading combination scheme.Finally, the computer simulation results show that the average redundancy of the proposed algorithm is less than 20% in the case of multiple cell service distributions.In addition, compared with other schemes, the proposed algorithm can control the average beam revisit time to about 300 ms while maintaining high system throughput.

Key words: LEO, beam hopping, graded beam, non-stationary MAB

CLC Number: 

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