• DocumentCode
    3341637
  • Title

    Design and Analysis of a Splitting Algorithm for a Multi-packet Reception ALOHA System

  • Author

    Seo, Jun-Bae ; Leung, Victor C M

  • Author_Institution
    Univ. of British Columbia, Vancouver, BC
  • fYear
    2009
  • fDate
    5-8 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we consider a centralized cross-layer splitting algorithm of a multi-packet reception slotted ALOHA system for contention resolution. In the algorithm, a base station estimates the number of backlogged mobile terminals by using a first-order auto-regressive (AR) model based on the number of packets successfully transmitted over previous contention resolution intervals (CRIs). Estimation errors are continuously corrected every slot during a CRI by exploiting multiple access interference (MAI). The retransmission probability broadcasted to MTs every slot is optimized to maximize the system throughput. The performance of this algorithm is analyzed in terms of throughput and delay, and verified by simulations. The algorithm shows around 60% throughput efficiency compared to the maximum achievable throughput.
  • Keywords
    access protocols; interference; regression analysis; backlogged mobile terminals; base station; centralized cross-layer splitting algorithm; contention resolution; first-order auto-regressive model; multipacket reception ALOHA system; multiple access interference; retransmission probability; Ad hoc networks; Algorithm design and analysis; Base stations; Broadcasting; Delay; Intrusion detection; Multiaccess communication; Multiple access interference; Signal processing algorithms; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
  • Conference_Location
    Budapest
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-2947-9
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2009.4917663
  • Filename
    4917663