• DocumentCode
    485401
  • Title

    A QoS-oriented cross-layer packet scheduling algorithm for a downlink wireless OFDMA system

  • Author

    Yujin Wang ; Shangzhi Xu ; Fuqiang Liu ; Xinhong Wang ; Yeqing Qian ; Yiling Wang

  • Author_Institution
    Broadband Wireless Commun. & Multimedia Lab., Tongji Univ., Shanghai
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    793
  • Lastpage
    796
  • Abstract
    In this paper, a QoS-oriented cross-layer packet scheduling algorithm is proposed, which takes channel and queue states into account for real-time services in an OFDMA downlink scenario. The algorithm is extended to frequency scheduling in an OFDMA system by performing dynamic channel allocation on a two dimension time-frequency grid including link adaptation by Adaptive Modulation and Coding (AMC). In this way, multi-user diversity can be utilized in time domain and in frequency domain. Compared to a system without frequency scheduling, this increases the system throughput and yields an improved fairness with respect to the allocated resources and with respect to the achieved data rate per user. Analytical and simulation results show that the proposed scheduling algorithm can improve the system throughput and guarantee the given QoS requirements.
  • Keywords
    adaptive codes; adaptive modulation; channel allocation; diversity reception; frequency division multiple access; frequency-domain analysis; multiuser channels; quality of service; radiocommunication; scheduling; time-domain analysis; QoS-oriented cross-layer packet scheduling algorithm; adaptive modulation and coding; dimension time-frequency grid; downlink wireless OFDMA system; dynamic channel allocation; frequency domain analysis; frequency scheduling; multiuser diversity; real-time services; time domain analysis; OFDMA; QoS; SGCNF; multi-user diversity; packet scheduling;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-836-5
  • Type

    conf

  • Filename
    4786322