基于802.11ac多用户MIMO网络的容量最大化

Capacity maximization in 802.11ac MU-MIMO networks

针对多用户MIMO网络中的干扰进行处理,在SINR模型下提出了两种分布式APs-STAs分组算法.为查找网络中合适的APs-STAs分组,文中给出了基于穷举思想的算法.该算法先对STA按照天线数目排序,然后判断有序的STAs能否满足干扰处理的约束条件,最后甄选出满足SINR约束条件的分组.与先前的算法相比,虽然该算法获得的网络容量更大,但是会造成较大的时间成本.为了改进该算法的缺点,文中又给出了节省时间的另一种优化算法.实验结果表明,文中提出的两个算法将网络容量提升了15%-52%.

Two distributed APs-STAs grouping algorithms are proposed to deal with the interference in multi-user MIMO networks under the signal-to-interference-and-noise ratio(SINR)model.In order to find the appropriate APs-STAs groups in the network,an algorithm based on exhaustive idea is presented.The algorithm first ranks the STAs according to the number of antennas,then judges whether the ordered STAs can satisfy the constraints of interference processing,and finally chooses the groups that satisfy the constraints of SINR.Compared with the previous algorithm,although the network capacity obtained by this algorithm is larger,it will cause a larger time cost.In order to improve the disadvantage of this algorithm,another time-saving optimization algorithm is presented.The experimental results show that both algorithms can increase the network capacity by 15%-52%.