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’ 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.
Supported by the General Project of Guangdong Natural Science Foundation nos. 2020A1515010851, and the General Project of Shenzhen Natural Science Foundation nos. JCYJ20190806142414811.
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Sun, W., Cao, B. (2020). Efficient Transmission of Multi Satellites-Multi Terrestrial Nodes Under Large-Scale Deployment of LEO. In: Hao, Z., Dang, X., Chen, H., Li, F. (eds) Wireless Sensor Networks. CWSN 2020. Communications in Computer and Information Science, vol 1321. Springer, Singapore. https://doi.org/10.1007/978-981-33-4214-9_11
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DOI: https://doi.org/10.1007/978-981-33-4214-9_11
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