上海交通大学学报

上海交通大学学报（自然版）

• 无线电电子学、电信技术 • 上一篇    下一篇

一种低复杂度的基于加权速率和最大化的多用户MIMO系统调度算法

陈磊，佘锋，罗汉文   

  1. （上海交通大学 电子信息与电气工程学院， 上海 200240）
  • 收稿日期:2008-02-18 修回日期:1900-01-01 出版日期:2008-10-28 发布日期:2008-10-28
  • 通讯作者: 罗汉文

A Low Complexity Maximum Weighted Sumrate Based Scheduling Algorithm in Multiuser MIMO System

CHEN Lei, SHE Feng, LUO Han-wen   

  1. (School of Electronic, Information and Electrical Engineering,
    Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2008-02-18 Revised:1900-01-01 Online:2008-10-28 Published:2008-10-28
  • Contact: LUO Han-wen

摘要： 针对多用户多输入多输出系统中，基于脏纸编码的迭代注水算法加权速率和最大化复杂度很高的问题，提出了一种基于迫零脏纸编码的低复杂度多用户资源调度算法.该算法在发射功率限制条件下，结合功率分配和多用户调度，根据信道状态信息构造用户选择参量，依次选择用户.由于只需要有限次循环，同时根据用户摒弃准则去除了信道状态不好的用户，从而降低了复杂度.仿真结果表明， 所提出的算法与迭代注水算法相比，在相同的仿真条件下，可以获得后者90%以上的加权速率和，随着用户数的增加，加权速率和性能趋向于后者，同时复杂度由与用户数的平方成正比降到了与用户数成正比.

关键词: 多输入多输出, 多用户, 调度, 加权速率和

Abstract: To solve the problem that the dirtypaper coding based iterative waterfilling algorithm to maximize weighted sumrate has high complexity in multiuser multiinput multioutput (MIMO) system, a low complexity zeroforcing dirtypaper coding based multiuser resource scheduling algorithm was proposed. Under the transmit power constraint, the proposed algorithm combines power allocation and user scheduling. Users are selected in sequence based on the userselection parameters which are constructed using the channel state information. The proposed algorithm only needs finite repetitions, and can drop off those users with poor channel quality through the userrejection criteria. Therefore the complexity is reduced. The simulation results show that, compared to the iterative waterfilling algorithm, the proposed algorithm achieves more than 90% weighted sumrate of the iterative waterfilling algorithm under similar simulation conditions. With the increasing user number the weighted sumrate of the proposed algorithm approximates to that of the iterative waterfilling algorithm. And the complexity is reduced from the one in proportion to the square of number of users to the one in proportion to the number of users.

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