• DocumentCode
    1851213
  • Title

    Adaptive Resource Allocation Based Packet Scheduling For LTE uplink

  • Author

    Sha Xuejun ; Sun Jin ; Wu Tonghui ; Liu Liang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • Volume
    2
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    1473
  • Lastpage
    1476
  • Abstract
    UTRAN Long Term Evolution (LTE), marked as 4G LTE, is a standard for wireless communication developed by 3GPP, which is aiming to provide a spectral efficiency 2 to 4 times higher than its predecessor HSUPA/HSDPA Release 6. As an uplink access scheme for LTE, the Single-Carrier Frequency Division Multiple Access (SC-FDMA) technology has to allocate continuous resources to one single-user, so this limitation will reduce the allocation flexibility and bring more challenges to design an effective packet scheduling algorithms. In this paper, we propose a new algorithm, named as Adaptive Resource Allocation Based Packet Scheduling (ARABPS) algorithm, which can allocate resources to a single-user flexibly as possible as we can. The simulation result indicated two major conclusions: one is that the ARABPS algorithm in this paper could gain 35% ~ 75% throughput than the Roundup Robin algorithm and the other is that the ARABPS could provide the better fairness relative to the Max C/I algorithm.
  • Keywords
    3G mobile communication; 4G mobile communication; Long Term Evolution; frequency division multiple access; resource allocation; scheduling; 3GPP; 4G LTE; ARABPS algorithm; HSUPA-HSDPA Release 6; LTE uplink access scheme; Max C/I algorithm; SC-FDMA technology; UTRAN Long Term Evolution; adaptive resource allocation based packet scheduling algorithm; continuous resource allocation; roundup robin algorithm; single-carrier frequency division multiple access technology; spectral efficiency; wireless communication; LTE; SC-FDMA; fairness; throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491853
  • Filename
    6491853