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一种基于自适应遗传算法的星地协作系统中继选择策略
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V243.1;TN927

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国家自然科学基金(60972042;61202490);陕西省自然科学基金(2013ZC15008);航空科学基金(2012ZC15008)


A Novel Relay Selection Scheme Based on Adaptive Genetic Algorithm in Satellite Terrestrial Cooperative System
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    摘要:

    针对星地协作系统的多中继选择问题,提出一种基于自适应遗传算法的中继选择策略。与现有的选择一个中继节点的选择算法不同,该策略建立了为源节点选择一个或多个中继节点模型,以最大化目的端接收信噪比为优化目标。对陆地卫星移动通信系统进行分析,在源节点(卫星)到目的节点(地面终端)间采用解码前传模式,并在目的节点处进行等增益合并。仿真结果表明,同基于最大接收信噪比的中继选择策略相比,该策略下系统在目的端接收信噪比约提升8 dB且具有更高的能效;与穷举搜索策略相比在保证信噪比性能的同时能带来约75%的时效提升。

    Abstract:

    Aimed at the problem of multiple relay selections in satelliteterrestrial cooperative system, a new relay selection scheme based on adaptive genetic algorithm(AGA) is proposed. The proposed scheme assigns one or many relay node models to a source node, and the scheme establishes an optimization model to assign one or more relays, and maximizes the received signaltonoise ratio(SNR) at the destination. The paper analyses the land mobile satellite system(LMS), and the receiver adopts an equalgain combining technique to implement a selective decode and forward (DF) between a source node (the satellite) and a destination node (a terrestrial station). The results show that the scheme based on AGA can improve powerefficiency and the received SNR of 8 dB, compared with the best single scheme under the condition that only one relay node with the maximum SNR is selected. And the proposed scheme can improve timeefficiency of 75%, compared with the exhaustive scheme.

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陈刘伟,梁俊,朱巍.一种基于自适应遗传算法的星地协作系统中继选择策略[J].空军工程大学学报,2016,17(1):41-45

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  • 在线发布日期: 2016-03-01
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