一种最大化系统用户速率下限的MIMO-MAC有限反馈干扰对齐算法

摘要

We propose a new code word selected scheme that directly selects code words to maximize the rate lower bound and combine bit allocation algorithm to reduce the sum rate loss,which is based on analyzing the disadvantages of the traditional limited feedback interference alignment scheme in two-cell interfering MIMO-MAC.Meanwhile,we adopt MAX-SINR criterion to decode the target signal.Unlike the traditional limited feedback schemes which are based on minimum chordal distance or alignment degree criterion,we select optimized code words from the perspective of maximizing the rate lower bound.Further,we generate the sets of code words which are close to perfect precoder,and select the optimized code words in these sets through low complexity and suboptimal global searching.The simulation results verify that the proposed algorithm effectively improves the performance of system and improves the rate lower bound compared with the existing typical algorithms.%针对2小区MIMO-MAC中传统有限反馈干扰对齐码字选择方案的不足,本文提出了一种最大化用户速率下界的直接码字选择方案,并结合比特分配算法来减少和速率的损失,同时采用最大信干扰算法译码.不同于传统的基于最小弦距离或对齐度准则来选择码字,本文从最大化用户速率下界的角度来选择的码字;进一步地,在格拉斯曼空间中生成与期望预编码接近的码字集合,在该集合中只需简单的搜索便可找到优化的码字组合,同时实现了低复杂度和次优的全局搜索.仿真实验表明,相对于现有的典型算法,本文算法在提升系统和速率的同时,也提高了系统用户速率的下界.