@inproceedings{3dbb223f5b5d4fe0a1d3ed58eae4b483,
title = "Efficient Transmission of Multi Satellites-Multi Terrestrial Nodes Under Large-Scale Deployment of LEO",
abstract = "In this paper, a novel uplink satellite-terrestrial network (STN) under the large-scale deployment of satellites is proposed to achieve efficient transmission of satellite-terrestrial data. In this network framework, spectrum utilization is improved by appropriate spectrum reuse and optimization to achieve matching transmission of multi terrestrial nodes (TNs) -multi satellite nodes (SNs). We formulate the optimization problem with maximizing system sum rate as optimization objective while considering TNs{\textquoteright} power and rate constraints. The original optimization problem is a highly non-convex optimization problem. We divide the optimization problem into node association subproblem and resource allocation subproblem, where resource allocation problem mainly includes channel allocation and power allocation. We propose a Matching and Lagrangian dual combination algorithm (MLCA) to solve the 0–1 combinatorial programming, wherein we use a matching algorithm and transform the original problem into convex subproblems via the Lagrangian dual method. Finally, simulation results are performed to verify the advantages of the proposed algorithm.",
keywords = "Matching algorithm, Non-convex optimization, STN",
author = "Wei Sun and Bin Cao",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; 14th China Conference on Wireless Sensor Networks, CWSN 2020 ; Conference date: 18-09-2020 Through 21-09-2020",
year = "2020",
doi = "10.1007/978-981-33-4214-9\_11",
language = "英语",
isbn = "9789813342132",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "140--154",
editor = "Zhanjun Hao and Xiaochao Dang and Honghong Chen and Fenfang Li",
booktitle = "Wireless Sensor Networks - 14th China Conference, CWSN 2020, Revised Selected Papers",
address = "德国",
}