Research Article
Network Coding-Based Capacity Optimization for Space Dynamic Network
@INPROCEEDINGS{10.1007/978-3-031-04245-4_4, author={Zhicong Zhong and Ruisong Wang and Ruofei Ma and Wenjing Kang and Gongliang Liu}, title={Network Coding-Based Capacity Optimization for Space Dynamic Network}, proceedings={6GN for Future Wireless Networks. 4th EAI International Conference, 6GN 2021, Huizhou, China, October 30--31, 2021, Proceedings}, proceedings_a={6GN}, year={2022}, month={5}, keywords={Network coding Multicast Capacity Power allocation Satellite network}, doi={10.1007/978-3-031-04245-4_4} }- Zhicong Zhong
Ruisong Wang
Ruofei Ma
Wenjing Kang
Gongliang Liu
Year: 2022
Network Coding-Based Capacity Optimization for Space Dynamic Network
6GN
Springer
DOI: 10.1007/978-3-031-04245-4_4
Abstract
Network coding (NC) scheme can effectively improve system capacity. Although NC has been widely studied and applied in terrestrial wireless networks, these researches are not suitable for space dynamic networks because of the dynamic topology and limited on-board resources. In order to make better use of on-board resource to improve the system capacity, a capacity optimization scheme is designed for space dynamic network based on network coding and power allocation. Firstly, considering a multicast scenario with single-source and multi-destination in a satellite network, and establishing a system transmission model based on linear network coding and limited power resources for the objective to maximize the multicast rate of the system. Through the analysis of the constraint conditions, the optimization problem is transformed into two sub-problems, which are to solve the maximum flow of each destination node and maximize the capacity of the key links. Finally we design a heuristic algorithm to solve these problems. Simulation results demonstrate the effectiveness of the proposed algorithm.
