混合蛙跳在AF协作通信功率优化中的应用  

Application of Shuffled Frog-Leaping Algorithm in the Optimal Power Allocation of AF Cooperative Communication

作　　者：刘紫燕[1] 唐思腾 冯丽[2] 帅暘 

机构地区：[1]贵州大学大数据与信息工程学院,贵州贵阳550025 [2]国网重庆市电力公司,重庆400014

出　　处：《计算机仿真》2015年第7期190-193,310,共5页Computer Simulation

基　　金：国家自然科学基金资助项目(61263005);贵州省科学技术基金资助项目([2011]2193号)

摘　　要：针对合理的功率分配能有效地提高中继协作性能,在不考虑功率优化目标函数的特性下,对功率受限的多中继协作通信的功率分配进行了研究。首先对AF多中继协作通信,提出了混合蛙跳算法的多中继节点功率分配方案。然后在总功率约束下,以最大化平均信噪比为优化目标函数,通过混合蛙跳得到源节点和中继节点的功率分配方案。上述算法不依赖于最优化问题的目标函数,具有操作简单,易于跳出局部最优等特性。仿真结果表明,与遗传算法和平均功率分配相比,基于混合蛙跳算法的功率分配方案能获得更小的比特差错率,提高了系统性能。Without considering function characteristic of the power optimization objective function,a power allocation scheme is studied,which can effectively improve the performance of relay cooperative communication. The power allocation scheme based on shuffled frog-leaping algorithm（ SFLA） for amplify-and-forward（ AF） multi-relay cooperative communication is proposed. Under the constraint of total power,the optimal power allocation scheme between the source node and relay nodes is obtained which maximizes the average SNR though SFLA. This algorithm is simple and easy to escape from local optima,which does not depend on the optimization objective function. Compared with genetic algorithm and equal power allocation（ EPA）,simulation results demonstrate that the proposed system based on SFLA achieves better performance with low bit error rate.

关 键 词：混合蛙跳算法 功率分配 多中继 协作通信 

分 类 号：TN911[电子电信—通信与信息系统]