• DocumentCode
    2019893
  • Title

    MIMO downlink scheduling in LTE systems

  • Author

    Zhang, Honghai ; Prasad, Narayan ; Rangarajan, Sampath

  • Author_Institution
    NEC Labs. America, Princeton, NJ, USA
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    2936
  • Lastpage
    2940
  • Abstract
    Scheduling plays a vital role in LTE downlink systems with Multiple Input and Multiple Output (MIMO) antennas. We consider the MIMO downlink scheduling problem at the base station (BS) in LTE networks under several practical constraints mandated by the 3GPP standards. We Define a new construct called transmission mode, which denotes a particular choice of MIMO operational mode, precoding matrix, transmission rank, as well as the modulation and coding schemes (MCSs) of up to two codewords and show that both LTE systems require that each scheduled user be served using only one transmission mode in every subframe. We prove that the resulting scheduling problems are NP-hard under both backlogged and finite queue traffic models, and then develop a unified low-complexity greedy algorithm that yields solutions guaranteed to be within 1/2 of the respective optima. Extensive performance evaluation in realistic settings reveals near-optimal performance of our proposed algorithm and that it significantly outperforms the state of the art, especially under the more practical, finite queue model.
  • Keywords
    3G mobile communication; Long Term Evolution; MIMO communication; antenna arrays; computational complexity; matrix algebra; modulation coding; precoding; queueing theory; scheduling; 3GPP standards; LTE downlink systems; MCS; MIMO antennas; MIMO downlink scheduling; MIMO operational mode; NP-hard problems; backlogged traffic model; base station; finite queue traffic model; modulation-coding schemes; multiple-input multiple-output antennas; near-optimal performance; precoding matrix; transmission mode; transmission rank; unified low-complexity greedy algorithm; user scheduling; Algorithm design and analysis; Approximation algorithms; Downlink; MIMO; Resource management; Scheduling algorithms; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2012 Proceedings IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-0773-4
  • Type

    conf

  • DOI
    10.1109/INFCOM.2012.6195733
  • Filename
    6195733