一种基于遗传算法的干扰链路选择方法

摘要：针对多小区的多输入多输出网络中的部分干扰对齐问题，提出了一种基于遗传算法的动态干扰链路选择机制。首先，利用无线信道路径损耗的非均匀特性，将预编码问题建模为一个混合整数双层规划问题；其次，基于遗传算法对该问题进行求解并获得最优的系统性能。仿真实验表明，在19个小区的多小区网络中，提出的算法能够以较少的天线达到比匹配滤波算法更优的性能，具有更优的应用价值。

An Interference Links Selection Method Based on Genetic Algorithm

Focusing on interference alignment with partial interference links in multi-cell multiple input multiple output （MIMO）networks, an interference links selection scheme was proposed based on genetic algorithm. By exploiting the heterogeneous path loses, the design problem of transceiver precoding matrices was formulated into a mixed integer bi-level optimal program. Then this problem was solved based on genetic algorithm to achieve the optimal system throughput. The simulation results show that, in a 19 hexagonal wrap-around-cell layout, the algorithm proposed outperforms a standard multi-user MIMO technique with far less transmit antennas. The present scheme is therefore of great promise to practical applications.