Title :
Power control for OSNR optimization in optical networks: A noncooperative game approach
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
This paper addresses the problem of optimization of optical signal to noise ratio (OSNR) in optical communication networks. The OSNR optimization problem is formulated as an m-player noncooperative game, based on a network OSNR model, developed for a general multi-link configuration. 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 :
game theory; iterative methods; optical communication; power control; OSNR optimization; channel specific feedback measurements; general multi-link configuration; iterative algorithm; noncooperative game approach; optical communication networks; optical networks; optical signal to noise ratio; power control; Intelligent networks; Iterative algorithms; Nonlinear optics; Optical feedback; Optical fiber networks; Optical noise; Optical sensors; Optical transmitters; Power control; Signal to noise ratio;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1428929