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- W2953463086 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." @default.
- W2953463086 created "2019-07-12" @default.
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- W2953463086 date "2019-01-01" @default.
- W2953463086 modified "2023-10-15" @default.
- W2953463086 title "Transmission Quality Improvement Algorithms for Multicast Terrestrial-Satellite Cooperation System" @default.
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- W2953463086 doi "https://doi.org/10.1007/978-3-030-22968-9_27" @default.
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