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ATM traffic Control Using Neural Networks

  • Atsushi Hiramatsu

Abstract

Multimedia information services including voice, video, and data signals are growing rapidly, increasing the demand for the broadband integrated services digital network (B-ISDN) that will provide high-speed communication channels suitable for transporting multimedia signals efficiently [1]. The asynchronous transfer mode (ATM) is a key B-ISDN technology [2, 3] and many communication research laboratories and vendors have been actively pursuing the research and development of ATM systems since the early 1980’s. The ATM interface and protocol have been standardized at ITU-TS (CCITT) [7] and products based on ATM technology have already been released [4]. Applications of ATM communication channels operating at hundreds of megabits per second are being investigated [6], and the deployment of ATM technology is expected to change the traditional architecture of public and private networks [5].

Keywords

Admission Control Link Capacity Output Buffer Virtual Channel Call Admission Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • Atsushi Hiramatsu
    • 1
  1. 1.NTT Communication Switching LaboratoriesJapan

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