A noncooperative game approach to OSNR optimization in optical networks

We consider a game theory framework for power control in optical networks. Channel optical signal-to-noise ratio (OSNR) optimization is formulated as an m-player noncooperative game, based on a general network OSNR model. Conditions for existence and uniqueness of the game equilibrium solution are given. An iterative algorithm for power control is proposed, that uses only channel specific feedback measurements and is shown to converge to the equilibrium solution.