6th International ICST Conference on Communications and Networking in China

Research Article

Lower Bound Capacity Based Scheduling in MU-MIMO System

  • @INPROCEEDINGS{10.1109/ChinaCom.2011.6158146,
        author={Xun Luo and Yang Yang and Zhangcheng Ding and Shu Fang and Shaoqian Li},
        title={Lower Bound Capacity Based Scheduling in MU-MIMO System},
        proceedings={6th International ICST Conference on Communications and Networking in China},
        keywords={mu-mimo user selection high throughput scheduling perfomance improvement},
  • Xun Luo
    Yang Yang
    Zhangcheng Ding
    Shu Fang
    Shaoqian Li
    Year: 2012
    Lower Bound Capacity Based Scheduling in MU-MIMO System
    DOI: 10.1109/ChinaCom.2011.6158146
Xun Luo1, Yang Yang1, Zhangcheng Ding1, Shu Fang1, Shaoqian Li1,*
  • 1: University of Electronic Science and Technology of China
*Contact email: xun.luo.uestc@gmail.com


Priority in higher multiplexing and diversity gains makes multiple-input multiple-output (MIMO) systems finally be adopted in several industrial wireless standards, e.g., the 3GPP long term evolution. Multi-user (MU) MIMO system realizes spatial multiplexing to communicate with several users, which can utilize multi-user diversity gain and thus provide improved system throughput, with the help of multi-user scheduling. User subset selection is required when the potential user pool exceeds the available transmission resources. When user selection or scheduling is done judiciously, it will obtain more multi-user diversity gain and help reducing the multi-user interference to ensure higher throughput. The current existed scheduling schemes are generally derived from the antenna selection algorithms. Indeed, they can improve the sum-rate of MU-MIMO system to some extent. However, these schemes can’t make the best of multi-user diversity gain, thus incurring capacity loss. To overcome these disadvantages, in this paper, a novel user scheduling scheme based on the lower bound capacity of MU-MIMO broadcast channel is proposed for the multi-user zero-forcing precoding system. In the proposed scheme, the base station will schedule those users that can achieve the maximal lower bound capacity of MU-MIMO system by certain optimal criterion. Simulation results are exhibited to indicate that the proposed scheme can provide performance improvement than other existed scheduling schemes.