ChinaCom2009-Wireless Communications and Networking Symposium

Research Article

A Cross-Layer Scheduling Scheme for SDMA systems with Limited Feedback

  • @INPROCEEDINGS{10.1109/CHINACOM.2009.5339803,
        author={Kai Sun and Yong Tie and Wei Huang and Guang-ji WANG},
        title={A Cross-Layer Scheduling Scheme for SDMA systems with Limited Feedback},
        proceedings={ChinaCom2009-Wireless Communications and Networking Symposium},
        publisher={IEEE},
        proceedings_a={CHINACOM2009-WCN},
        year={2009},
        month={11},
        keywords={cross-layer SDMA limited feedback},
        doi={10.1109/CHINACOM.2009.5339803}
    }
    
  • Kai Sun
    Yong Tie
    Wei Huang
    Guang-ji WANG
    Year: 2009
    A Cross-Layer Scheduling Scheme for SDMA systems with Limited Feedback
    CHINACOM2009-WCN
    IEEE
    DOI: 10.1109/CHINACOM.2009.5339803
Kai Sun1,*, Yong Tie2,*, Wei Huang2,*, Guang-ji WANG3,*
  • 1: College of Electronic Information Engineering, Inner Mongolia University, Hohhot 010021 ,Beijing University of Posts and Telecommunications (BUPT), Beijing, 100876
  • 2: College of Electronic Information Engineering, Inner Mongolia University, Hohhot 010021
  • 3: Beijing University of Posts and Telecommunications (BUPT), Beijing, 100876
*Contact email: sunkai1501@gmail.com, sak9999@sohu.com, ppmhwsak@gmail.com, davidwgj@gmail.com

Abstract

The cross-layer scheduling problem in multi-antenna broadcast channel with more singe-antenna receivers than transmit antennas and partial channel state information at the transmitter (CSIT) is investigated. A gradient-based scheduling framework is formulated. The proposed scheduling scheme can efficiently support the services with diverse quality of service (QoS) requirements. According to the channel state information (CSI) which is feedback from the mobile station and the queue state information (QSI) which is obtained from the upper layer, the proposed algorithm dynamically assigns the transmit mode (i.e., the number of the users to serve) to maximize the system throughput by fully exploiting the multiplexing gain and the multiuser diversity gain. The simulation results show that the proposed algorithm significantly improves the system performance in terms of the system throughput, packet dropping probability, and the ratio of unsatisfied minimum data rate of non-real-time services. The effect of the fairness factor is also evaluated by simulations.