• DocumentCode
    2631539
  • Title

    A neural network controlled ATM switch

  • Author

    Nan, Hua ; Liu, Zemin

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., China
  • fYear
    1996
  • fDate
    4-6 Sep 1996
  • Firstpage
    518
  • Lastpage
    526
  • Abstract
    The Banyan network is a kind of multistage interconnection networks (MINs), and is very popular to be used as a basic building block in ATM switch designs. The neural network scheduling of multistage interconnection networks (MINs) have been proposed in some papers, but its hardware implementation is complicated. In this paper we propose a high throughput ATM switch which consists of neural network controlled Banyan network with input-output-queueing. Its neural network controller is very simple. Our simulation results show the neural network controller is efficient
  • Keywords
    multistage interconnection networks; ATM switching; Banyan network; Hopfield neural network; asynchronous transfer mode; input-output-queueing; multistage interconnection networks; network topology; scheduling; Asynchronous transfer mode; B-ISDN; Communication system control; Multiprocessor interconnection networks; Network topology; Neural networks; Optimal scheduling; Sorting; Switches; Telecommunication switching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks for Signal Processing [1996] VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop
  • Conference_Location
    Kyoto
  • ISSN
    1089-3555
  • Print_ISBN
    0-7803-3550-3
  • Type

    conf

  • DOI
    10.1109/NNSP.1996.548382
  • Filename
    548382