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Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I

Research Article

Beam Hopping Resource Allocation for Uneven Traffic Distribution in HTS System

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  • @INPROCEEDINGS{10.1007/978-3-030-69069-4_39,
        author={Xudong Zhao and Chen Zhang and Yejun Zhou and Gengxin Zhang},
        title={Beam Hopping Resource Allocation for Uneven Traffic Distribution in HTS System},
        proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I},
        proceedings_a={WISATS},
        year={2021},
        month={2},
        keywords={Traffic modeling High-throughput satellite Beam hopping Resource allocation},
        doi={10.1007/978-3-030-69069-4_39}
    }
    
  • Xudong Zhao
    Chen Zhang
    Yejun Zhou
    Gengxin Zhang
    Year: 2021
    Beam Hopping Resource Allocation for Uneven Traffic Distribution in HTS System
    WISATS
    Springer
    DOI: 10.1007/978-3-030-69069-4_39
Xudong Zhao1, Chen Zhang1,*, Yejun Zhou2, Gengxin Zhang1
  • 1: College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications
  • 2: Institute of Telecommunication Satellite, China Academy of Space Technology
*Contact email: zhangchen@njupt.edu.cn

Abstract

Recently beam hopping technique is considered as a potential key technology in the next generation of high throughput satellite (HTS) systems for its flexible resource allocation. This paper is focused on the downlink resource allocation of beam hopping in the HTS System. Firstly, the user traffic model which varies in geography and time is built. Then with the proposed uneven traffic distribution model, the beam hopping time slot optimization algorithm is provided based on fairness objective function. Finally, the beam hopping pattern is designed to be combined with precoding to suppress co-channel interference. The simulation results show that compared with the traditional methods, the proposed algorithm can dynamically adjust the resource allocation with the change of the traffic requirements, and eliminate the co-channel interference of the beam as much as possible to meet the traffic requirements of each beam, thus improving the capacity of the satellite network.

Keywords
Traffic modeling High-throughput satellite Beam hopping Resource allocation
Published
2021-02-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69069-4_39
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