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.