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Transmission Quality Improvement Algorithms for Multicast Terrestrial-Satellite Cooperation System

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Artificial Intelligence for Communications and Networks (AICON 2019)

Abstract

In this paper, we investigate a terrestrial-satellite multicast beamforming cooperative system to optimize the problem of low expenses and high capacity requirements of ground users. Different from the point-to-point link-based terrestrial network, we design the terrestrial and satellite beamforming vectors cooperatively based on the required contents of users in order to realize more reasonable resource allocation. The satellite and base stations provide service cooperatively for ground users within coverage, and during transmission, both the satellite and the base stations use the multicast beamforming technique to improve the system performance, and the user group scheduling, resource allocation and beamforming design are considered jointly. Based on this architecture, we first formulate a joint optimization problem to maximize the system capacity performance, and we design the beamforming vectors of the base stations and the satellite cooperatively on the basis of user group scheduling and power constraints. Then we extend the problem into a more realistic scene that the link delay of satellite is larger than it of base stations, this may influence the joint optimization timeliness of condition changes. So we propose a two phases optimization algorithm that we optimize terrestrial-satellite system jointly in the first phase and optimize terrestrial part independently in the second phase. The simulation results show that, the proposed algorithm gains more than 38% of capacity improvement compared with maximum ratio transmission (MRT) method.

This work was supported by the National Natural Science Foundation of China (NSFC, 91538203 and 61871257), the new strategic industries development projects of Shenzhen City (JCYJ20170307145820484), the Joint Research Foundation of the General Armaments Department and the Ministry of Education (6141A02033322), and the Beijing Innovation Center for Future Chips, Tsinghua University.

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Authors and Affiliations

  1. School of Information Science and Technology, Tsinghua University, Beijing, 100084, China

    Yuandong Zhang & Liuguo Yin

  2. Beijing National Research Center for Information Science and Technology, Beijing, 100084, China

    Yuandong Zhang & Liuguo Yin

  3. Key Laboratory of EDA, Research Institute of Tsinghua University in Shenzhen, Shenzhen, 518057, China

    Yuandong Zhang & Liuguo Yin

Authors
  1. Yuandong Zhang
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  2. Liuguo Yin
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Corresponding author

Correspondence to Liuguo Yin .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Shuai Han

  2. Harbin Institute of Technology, Harbin, China

    Liang Ye

  3. Harbin Institute of Technology, Harbin, China

    Weixiao Meng

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, Y., Yin, L. (2019). Transmission Quality Improvement Algorithms for Multicast Terrestrial-Satellite Cooperation System. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-030-22968-9_27

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  • DOI: https://doi.org/10.1007/978-3-030-22968-9_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22967-2

  • Online ISBN: 978-3-030-22968-9

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