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Control of Non-Equilibrium Dynamics in Communication Networks Tansu Alpcan, Prashant G. Mehta, Tamer Basar, and Umesh Vaidya
 

Summary: Control of Non-Equilibrium Dynamics in Communication Networks
Tansu Alpcan, Prashant G. Mehta, Tamer Bas¸ar, and Umesh Vaidya
Abstract-- We propose a novel, dynamical systems-based
approach for analysis and control of the complex dynamic
behavior arising in communication networks. Specifically, we
consider the Active Queue Management (AQM) problem and
study the non-equilibrium behavior observed as a result of
the interaction between deterministic queueing and nonlinear
flow-control dynamics using a stochastic characterization. The
asymptotic dynamics are interpreted using invariant measures
of certain stochastic operators. For computational tractability,
we use set-oriented numerical methods to construct finite-
dimensional Markov models including control Markov chains
and hidden Markov models. Based on the stochastic model
constructed, we pose and solve the AQM control problem using
Markov Decision Processes (MDPs). The framework developed
is demonstrated through a numerical study of an example
AQM scheme, which shows persistent non-equilibrium queue
behavior under the optimal control strategy.
I. INTRODUCTION

  

Source: Alpcan, Tansu - Deutsche Telekom Laboratories & Technische Universität Berlin

 

Collections: Engineering