在大规模分布式天线系统中,静态分簇和用户调度带来的簇间干扰问题会导致系统和速率下降.针对这个问题,提出了一种两阶段贪婪用户调度算法.首先,每个簇内并行实施贪婪用户调度;然后,从全局上再次利用贪婪算法来剔除簇间干扰较大、服务质量较差的用户,使得系统和速率进一步提升.仿真结果表明,随着不同系统参数的改变,两阶段贪婪用户调度算法可有效提高系统和速率.
In a large-scale distributed antenna system,static clustering and user scheduling will redeuce thesystem sum-rate due to inter-cluster. To solve this problem,a two-stage greedy user scheduling algorithm isproposed. First,each cluster uses greedy user scheduling parallelly. Then,from the overall situation,thegreedy algorithm is utilized to remove some users with larger inter-cluster interferences and poor quality ofservice,thus further improving the system sum-rate. Simulation results show that with different system parameters,the two-stage greedy user scheduling algorithm can effectively improve the system sum-rate.