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Beam Illumination and Resource Allocation for Multi-beam Satellite Systems

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Communications and Networking (ChinaCom 2022)

Abstract

Multi-beam satellite communication systems have received considerable attentions in recent years. By generating multiple beams at the transmitting satellites, the coverage areas can be enlarged and the transmission capacity can be improved. In this paper, we study beam illumination and resource allocation problem in multi-beam satellite communication systems. Jointly considering the revenue received from successful packet transmission and the energy consumption required for packet transmission, we define a system utility function and formulate joint user grouping, beam illumination, and time-frequency resource allocation problem as a constrained utility function maximization problem. Since beam illumination and time-frequency resource allocation problems are of different time and regional scales, this paper proposes a two-stage resource allocation algorithm. On relatively large temporal scale, we propose an offline user grouping algorithm and a group-oriented beam illumination scheme. Then based on the obtained user grouping and beam assignment strategy, an online resource scheduling algorithm is proposed, which schedules time and frequency resources for individual users. Numerical results verify the effectiveness of the proposed algorithm.

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Correspondence to Xiaorui Tang .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Tang, X., Chai, R., Gui, K. (2023). Beam Illumination and Resource Allocation for Multi-beam Satellite Systems. In: Gao, F., Wu, J., Li, Y., Gao, H. (eds) Communications and Networking. ChinaCom 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-34790-0_27

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  • DOI: https://doi.org/10.1007/978-3-031-34790-0_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34789-4

  • Online ISBN: 978-3-031-34790-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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