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8dB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。
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 combi- ning 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.
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2016年第1期41-45,共5页
Journal of Air Force Engineering University(Natural Science Edition)
基金
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)
关键词
星地协作系统
自适应遗传算法
陆地卫星移动通信
中继选择
satellite-terrestrial cooperative system
adaptive genetic algorithm （AGA）
mobile satellite system（LMS）
relay selection
