Enabling Differentiated Services Using Generalized Power Control Model in Optical Networks

TL;DR

This paper introduces a generalized power control framework for optical networks that combines game theory and central cost methods to optimize OSNR, supporting differentiated services with proven convergence of distributed algorithms.

Contribution

It presents a novel unified framework for power control in optical networks that accommodates multiple service groups and provides convergence guarantees for distributed solutions.

Findings

Framework effectively supports differentiated services.

Distributed algorithm converges for various user classes.

Numerical examples validate the proposed approach.

Abstract

This paper considers a generalized framework to study OSNR optimization-based end-to-end link level power control problems in optical networks. We combine favorable features of game-theoretical approach and central cost approach to allow different service groups within the network. We develop solutions concepts for both cases of empty and nonempty feasible sets. In addition, we derive and prove the convergence of a distributed iterative algorithm for different classes of users. In the end, we use numerical examples to illustrate the novel framework.