Title :
A noncooperative game approach to OSNR optimization in optical networks
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada
fDate :
5/1/2006 12:00:00 AM
Abstract :
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.
Keywords :
feedback; game theory; iterative methods; optical communication; power control; telecommunication control; channel optical signal-to-noise ratio; channel specific feedback measurements; iterative algorithm; noncooperative game; optical networks; power control; Game theory; Intelligent networks; Iterative algorithms; Mathematical model; Optical feedback; Optical fiber networks; Optical noise; Power control; Signal to noise ratio; Wireless networks; Game theory; Nash games; iterative power control; optical networks;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2006.875009
