摘要
在多输入多输出-正交频分复用(MIMO-OFDM)系统中,根据信道状况自适应地分配天线与子载波是使信道容量达到最大的关键技术。提出一种基于拥挤模型的差分进化算法,即拥挤差分进化算法(Crowding Differential Evolution Algorithm,CDE)用于解决MIMO-OFDM系统的自适应天线和子载波联合分配问题,利用该算法参数少、寻优能力强以及收敛速度快的特点,可快速确定最佳的天线和子载波联合分配方案,实现信道容量最大。
In the MIMO-OFDM system, the allocation of combined antenna and sub-carrier according to the channel conditions is the key technology to maximize channel capacity. This paper presents a differential evolution algorithm based on crowding model, which is introduced to solve the problem of the allocation of combined antenna and sub-carrier in the MIMO-OFDM system. This algorithm has such characteristics as few parameters and fast convergence, so the best allocation of combined antenna and sub-carrier can be found accurately and quickly and the maximum channel capacity can be achieved by using this algorithm.
出处
《无线电通信技术》
2011年第1期34-37,共4页
Radio Communications Technology
