一种基于混合智能算法的协作中继选择新方法

针对多用户多中继场景下协作通信系统的中继选择问题，提出了一种基于混合智能算法的协作中继选择新方法。不同于现有的为每个源节点分配一个中继节点的中继选择方法，新方法建立了为每个源节点分配一个或多个中继节点的优化模型，以最大化多用户多中继协作系统的最小接收信噪比为优化目标，采用结合了模拟退火与遗传算法的混合智能算法来搜寻中继选择问题的最优解。仿真结果表明，所提方法可显著提高目的端的接收信噪比，且算法具有较强的全局搜索和快速寻优能力。

A new method for cooperative relay selection based on hybrid intelligent algorithm

Aiming at the problem of relay selection in multi-user multi-relay cooperative communication system, a new mothod for cooperative relay selection based on hybrid intelligent algorithm is proposed. The proposed method is different from the current relay selection method which assigns one relay node for each source node. It establishes an optimization model which assigns one or more relay nodes for each source node, and maximizes the minimum received signal-to-noise ratio (SNR) of multi-user multi-relay cooperative system. A hybrid algorithm which combines simulated annealing(SA) and genetic algorithm(GA) is employed to search the optimal solution for relay selection problem. Simulation results show that the proposed method can significantly improve the received SNR at the destination, and the algorithm possesses strong global search capability and fast optimization capability.