• DocumentCode
    2010741
  • Title

    A joint adaptive subpacket size and modulation coding scheme with variable bandwidth

  • Author

    Pan, Ke ; Zuo, Yong ; Liu, Xueyong ; Chen, Jie

  • Author_Institution
    Commun. & Multimedia SoC Lab., Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the wireless communication systems, the bandwidth is usually variable because of the dynamic channel. Although the optimal number of subpackets and AMC scheme has been proposed recently, it is limited to the fixed bandwidth. In this paper, a cross-layer design named AMC-SPS-SVB which combines AMC and ASPS with SR-ARQ is proposed to maximize the throughput of the system in a dynamic channel with the variable bandwidth. Curve fitting is applied here to give out approximate expressions of bit error rate under given modulation and coding schemes. General closed-form expressions of effective spectrum efficiency and optimal subpacket size under given modulation and coding schemes for our algorithm are presented. Furthermore, an efficient method is provided to find the optimal AMC and subpacket size. Numerical results show that the proposed algorithm improves the throughput of the system and works well with the variable bandwidth.
  • Keywords
    curve fitting; encoding; modulation; radiocommunication; AMC scheme; AMC-SPS-SVB; adaptive subpacket size; cross-layer design; curve fitting; dynamic channel; general closed-form expression; modulation coding scheme; modulation scheme; variable bandwidth; wireless communication systems; Application specific processors; Automatic repeat request; Bandwidth; Bit error rate; Closed-form solution; Cross layer design; Curve fitting; Modulation coding; Throughput; Wireless communication; AMC; IEEE 802.16e; SR-ARQ; adaptive packet size; effective spectrum efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Mobile Congress 2009
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-5302-3
  • Electronic_ISBN
    978-1-4244-5301-6
  • Type

    conf

  • DOI
    10.1109/GMC.2009.5295857
  • Filename
    5295857