Research Article
Network Coding Based Efficient Topology Construction and Flow Allocation Method for Satellite Networks
@INPROCEEDINGS{10.1007/978-3-031-36011-4_14, author={Ruisong Wang and Wenjing Kang and Shengliang Fang and Ruofei Ma}, title={Network Coding Based Efficient Topology Construction and Flow Allocation Method for Satellite Networks}, proceedings={6GN for Future Wireless Networks. 5th EAI International Conference, 6GN 2022, Harbin, China, December 17-18, 2022, Proceedings, Part I}, proceedings_a={6GN}, year={2023}, month={7}, keywords={Network Coding Topology Construction Flow Allocation Method Satellite networks}, doi={10.1007/978-3-031-36011-4_14} }- Ruisong Wang
Wenjing Kang
Shengliang Fang
Ruofei Ma
Year: 2023
Network Coding Based Efficient Topology Construction and Flow Allocation Method for Satellite Networks
6GN
Springer
DOI: 10.1007/978-3-031-36011-4_14
Abstract
As a key component of the sixth generation (6G) communication network, satellite network has attracted extensive attention due to its advantages of wide coverage and high capacity. However, the current limited resources are difficult to meet the growing data requirements. Therefore, this paper considers a multicast satellite network and uses network coding technology to improve the resource utilization of inter satellite links. Furthermore, we are committed to optimizing network topology and coding flow allocation to improve network capacity. The proposed optimization problem is formulated as an integer linear programming problem, which is difficult to solve. In order to improve computing efficiency, we propose a heuristic topology construction and flow allocation method. The flow allocation problem is equivalent to the maximum flow problem of multiple source-to-destination pairs for a given network topology. Based on this, the topology construction method is given by iteratively deleting the links that have the least impact on the overall performance. Finally, the simulation results indicate that the proposed method can significantly improve the network capacity compared with the traditional methods.
