块对角化预编码下的用户选择技术

Multi-user Selection with Block Diagonalization Precoding

针对下行多用户多天线系统(MU-MIMO)的资源分配和用户调度,提出了一种基于遗传算法(GA)的多用户比例公平调度算法,并通过在初始群体中加入具有优秀基因的个体并保持其基因稳定性,加快了遗传算法的收敛性。基站端采用块对角化预编码机制来消除用户间干扰,并在保证用户间速率比例公平的前提下最大化系统吞吐量,在同一时刻选择最优用户集来传输。此外,分析了信道反馈错误对该系统的影响。仿真与分析表明,提出的基本算法与改进算法在公平性和系统的吞吐量方面取得了较好的折中,同时算法复杂度比较低。

For the resource allocation and scheduling of downlink multi-user multiple input multiple output （MU-MIMO） system, a multi-user proportional fair scheduling scheme based on genetic algorithms （GA） was proposed. By adding some good-gene individuals to the initial population and keeping its gene stable, the convergence of GA was greatly accelerated. Specifically, the base station exploited Block Diagonalization （BD） precoding technique to eliminate the inter-user interference. To guarantee the fairness while maintaining the throughput performance, a subset of users was selected to serve at one time slot. Moreover, the impact of feedback error on the channel state information was analyzed. Simulation results show that both schemes can achieve a good tradeoff between fairness and throughput with low computational complexity compared with other scheduling schemes.