低軌道衛(wèi)星星座系統(tǒng)網(wǎng)絡(luò)資源分配方法的研究與仿真實(shí)現(xiàn)
[Abstract]:Because the satellite communication network has the characteristics of global direct communication, rapid information transmission, wide coverage and not restricted by geographical environment, so it has been widely used in military field and civil engineering. It is of great significance to study the resource allocation of satellites in different demand scenarios and to maximize the network carrying capacity, which is of great significance for the design of satellite communication networks with higher price. In this paper, the network capacity is used to measure the carrying capacity of the whole network. Combined with the communication environment of low orbit satellite, the method of network capacity analysis is designed, and the allocation method of satellite bandwidth and power resources under different demand angles is studied. Firstly, the low-orbit satellite node model, interstellar link model and transmission model are established. Then, the network capacity is divided into instantaneous network capacity and average network capacity. According to the switching time of interstellar link in constellation system, the network cycle is divided into several time slices. By selecting a large number of sampling points in each time slice, the average network capacity of the time slice is calculated, and the overall network capacity is obtained. Finally, different resource allocation methods are designed from different requirements, including capacity maximization based resource allocation, utility function based resource allocation and proportional equity based resource allocation. Among them, the resource allocation method based on capacity maximization is an idealized allocation method, which only aims at capacity maximization and does not consider the actual demand and fairness of adjacent satellites. The resource allocation method based on utility function is based on maximizing the satisfaction degree of adjacent satellites. The method of resource allocation based on proportional fairness takes into account the number of earth stations in the satellite coverage area and the time of existence of the corresponding satellite-earth link. These three resource allocation methods are all nonlinear mixed integer programming problems, which are solved by multi-group cloud differential evolution algorithm with integer operation and swallow swarm optimization algorithm respectively. In order to verify the feasibility and effectiveness of the various resource allocation methods designed in this paper, the satellite orbit data of Iridium system and all-star system are generated by using Satellite tool Kit (STK), and the simulation results and performance comparison are carried out on Eclipse platform. The simulation results show that although there are some differences in network capacity under different resource allocation methods, the bearing capacity of satellite network is affected by satellite trajectory and actual service.
【學(xué)位授予單位】:東北大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN927.2
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