• DocumentCode
    2891323
  • Title

    Joint Power Allocation and Scheduling of Multi-Antenna OFDM System in Broadcast Channel

  • Author

    She, Feng ; Chen, Wen ; Luo, Hanwen ; Huang, Tingshan ; Wang, Xinbing

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper considers the general multiuser downlink scheduling problem and power minimization with multiuser rate constraints. We present joint user selection algorithms for DPC, ZF-DPC, ZFBF and TDMA for multi-antenna OFDM system in broadcast channels, and we also present a practical waterfilling solution in this paper. By the selected users with the consideration of fairness, we derive the power optimization algorithm with multiuser rate constraints. Simulation results show that the presented user scheduling algorithms and power minimization algorithms can achieve good power performance. Meanwhile, simulation results also show that the scheduling algorithm can guarantee fairness.
  • Keywords
    MIMO communication; OFDM modulation; antenna arrays; broadcast channels; multiuser channels; scheduling; TDMA; ZF-DPC; ZFBF; broadcast channel; joint user selection algorithm; multiantenna OFDM system; multiuser downlink scheduling; multiuser rate constraints; power allocation; power minimization; power optimization algorithm; waterfilling solution; zero forcing beamforming; zero forcing dirty paper coding; Base stations; Broadcasting; Downlink; Interchannel interference; Job shop scheduling; Minimization methods; OFDM; Scheduling algorithm; Time division multiple access; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199118
  • Filename
    5199118