• DocumentCode
    3360580
  • Title

    Reducing feedback load for proportional fair scheduling in MIMO OFDM systems

  • Author

    Wenxiu Zhao ; Tiankui Zhang ; Zhimin Zeng ; Weidong Ning ; Yu Ngok ; Ruyue Li

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    11-13 Jan. 2012
  • Firstpage
    400
  • Lastpage
    404
  • Abstract
    A feedback reduction scheme is proposed in multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The proposed scheme can reduce the feedback load of channel quality indicator (CQI) required for proportional fair scheduling at base station (BS). The probability distributions of instantaneous rate and average rate are studied. Then the distribution of proportional fair (PF) priority is obtained. Each user predicts the probability of being scheduled on the condition that its own PF priority is known. To reduce the amount of feedback load, a hard threshold of PF probability is designed for the CQI feedback reduction. This threshold is broadcast to all the users and only the users whose instantaneous PF priorities are higher than the threshold will feed back the CQI. The amount of feedback load saved by implementing the hard threshold is determined and the effect on the system throughput is analyzed. The simulation results show that the proposed scheme can reduce the feedback overhead while minimize the throughput loss.
  • Keywords
    MIMO communication; OFDM modulation; feedback; probability; scheduling; wireless channels; BS; CQI; MIMO OFDM system; PF probability; PF scheduling; base station; channel quality indicator; feedback load reduction scheme; multiinput multioutput orthogonal frequency division multiplexing system; proportional fair scheduling; throughput loss minimization; Feeds; Interference; Load modeling; MIMO; Probability distribution; Signal to noise ratio; Throughput; limited feedback; proportional fair; reducing feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and Applications Conference (ComComAp), 2012
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-1717-8
  • Type

    conf

  • DOI
    10.1109/ComComAp.2012.6154881
  • Filename
    6154881