针对基于有限反馈ZF预编码的MIMO多用户下行系统,提出了一种用户较少情况下的低复杂度调度算法.本算法以系统吞吐量的下限为目标函数,通过吞吐量下限最大化的办法选择用户,使系统获得多用户分集增益,从而增加了系统吞吐量.同时为了解决总反馈量随用户数线性增加的问题,提出了基于门限反馈的办法降低总的反馈速率.仿真结果表明:本算法能够有效地增加系统的吞吐量,选择适当的门限反馈在降低总的反馈速率的同时并未影响系统的性能.
Low complexity schedule algorithm with fewer users was proposed for the downlink of multiuser multiple input multiple output(MU-MIMO) system with limited feedback zero-forcing(ZF) precoding.Taking the lower bound function of system throughput as the objective function,the proposed algorithm selected users by maximizing the lower bound value.In this way,multi-user diversity gain was obtained and the system throughput increased.According to the fact that feedback linearly increases with the numbers of users,the algorithm's feedback rate was decreased based on the threshold feedback.Simulation results show that the throughput of the system is effectively improved with this algorithm,and with proper threshold feedback the total feedback rate is declined without any negative effects on the system.