为了满足块对角化对天线数的限制并降低硬件的复杂性及成本,提出一种改进的块对角化下用户天线联合选择方法。利用差分算法收敛速度快、收敛精度高、全局寻优能力强等特点搜索可能的天线子集以最大化系统和数据率,与目前解决用户天线联合选择问题效果最好的算法对比,基于差分进化算法的用户天线联合选择具有更高的精度,且在大多数情况下效率也更高,更适于解决块对角化下的用户天线联合选择。
In order to satisfy the condition on the number of antenna of block diagonalization and decrease the complexity and costs of the hardware, an improved joint user and antenna selection algorithm is put forward. It is employed to search possible antenna subsets for maximizing system sum rate due to fast convergence rate, high convergence accuracy and brilliant global searching ability. Simulation results show that joint user and antenna selection based on differential evolution has better accuracy and, in most cases, higher efficiency compared with the existing best algorithm.