| 摘要: |
| 针对由卫星通信网络、地面移动网络以及空中飞行平台所组成的空天地一体化网络（Hybrid Satellite-Aerial-Terrestrial Network，HSAT）下行链路的系统吞吐量问题，提出了基于多目标遗传算法的地面基站选择及功率分配算法。在这一网络中，空中飞行平台需要地面基站为其进行中继通信。因此，地面中继基站的选择和功率分配决定了系统的吞吐量。所提算法为了取得对系统吞吐量更好的优化效果，将优化系统吞吐量和满足约束条件建模成两个优化目标，通过设计特有的迭代选择过程使地面基站选择和功率分配不断优化。仿真分析表明，所提算法在保证用户最低通信需求的前提下，有效提升了系统的吞吐量。 |
| 关键词: 空天地一体化网络 基站选择 功率分配 遗传算法 |
| DOI： |
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| 基金项目: |
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| Joint terrestrial base station selection and power allocation for hybrid satellite-aerial-terrestrial networks |
| LI Yue |
| (AVIC China Helicopter Research and Development Institute,Tianjin 300300，China) |
| Abstract: |
| A multi-objective genetic algorithm based joint terrestrial base station selection and power allocation algorithm is proposed to promote downlink trasmission data rate of hybrid satellite-aerial-terrestrial network(HSAT).The HSAT system includes low Earth orbit(LEO),aerial base station(AeNB) and terrestrial base stations(TeNB).In HSAT,AeNB needs TeNB’s assistance as a relay.Thus,there are two important factors to improve the system throughput,the TeNB relay selection and power allocation.To improve the system throughput under minimum user data rate requirement,a novel multi-objective genetic algorithm is proposed.In the algorithm,system throughput and user data rate constraint are formed as two optimization objectives.According to the novel iterative search program designed,the joint terrestrial base station selection and power allocation solution can evolve.The simulation results show that the proposed algorithm can improve the system throughput under the constraint of minimum user data rate requirements. |
| Key words: hybrid satellite-aerial-terrestrial(HSAT) network base station selection power allocation genetic algorithm |
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