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An Adaptive Inverse Controller for Explicit Rate Congestion Control with Guaranteed Stability and Fairness
 

Summary: An Adaptive Inverse Controller for Explicit Rate Congestion Control
with Guaranteed Stability and Fairness
by
Kenneth P. Laberteaux, Charles E. Rohrs, and Panos J. Antsaklis
Abstract This paper examines explicit rate congestion control for data networks. The Available Bit Rate
(ABR) service category of Asynchronous Transfer Mode (ATM) networks serves as an example explicit
rate system. However, the results of this paper are applicable to other systems as well. After a plant
model is established, a control strategy based on approximate inverse concepts is introduced. The
control process includes a linear digital filter (with a DC or drift tap) that uses Normalized Least Mean
Square (NLMS) adaptation. The convergence, stability and fairness properties of this control scheme are
discussed. This work differentiates itself from the other contributions in the area of rate-based congestion
control in its balanced approach of retaining enough complexity as to afford attractive, analytically-
proven performance properties, but not so much complexity as to make implementation prohibitively
expensive.
1 Introduction
In 1984, the Consultative Committee on International Telecommunications and Telegraph
(CCITT), a United Nations organization responsible for telecommunications standards, selected
Asynchronous Transfer Mode (ATM) as the paradigm for broadband integrated service digital networks
(B-ISDN) [2]. ATM networks provide 6 service categories. Each category of service is customized for a
particular type of traffic. Of these 5 categories, only one, Available Bit Rate (ABR), uses a feedback

  

Source: Antsaklis, Panos - Department of Electrical Engineering, University of Notre Dame

 

Collections: Engineering