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—This paper studies a constrained optical signal-to-noise ratio (OSNR) optimization problem in optical networks from the perspective of system performance. A system optimization problem is formulated with the objective of achieving an OSNR target for each channel while satisfying the total power constraint. In order to establish existence of a unique(More)
—We consider a game theory framework for power control in optical networks. Channel optical signal-to-noise ratio (OSNR) optimization is formulated as an-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,(More)
This paper extends some duality results from a standard optimization setup to a noncooperative (Nash) game framework. A Nash game (NG) with coupled constraints is considered. Solving directly such a coupled NG requires coordination among possibly all players. An alternative approach is proposed based on its relation to a special constrained optimization(More)
— 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(More)
— We consider a gossip approach for finding a Nash equilibrium in a distributed multi-player network game. We extend previous results on Nash equilibrium seeking to the case when the players' cost functions may be affected by the actions of any subset of players. An interference graph is employed to illustrate the partially-coupled cost functions and the(More)
— Current control methods for Erbium Doped Fiber Amplifier (EDFA) devices lack a systematic approach to provide specified performance over the entire state space. Linearization techniques are combined with heuristic switching to attain operation around specific operating points. In this paper, a more inclusive model that takes Amplified Spontaneous Emission(More)
In this paper, we propose a distributed primal-dual algorithm for computation of a generalized Nash equilibrium (GNE) in noncooperative games over network systems. In the considered game, not only each player's local objective function depends on other players' decisions, but also the feasible decision sets of all the players are coupled together with a(More)
The general problem of Nash equilibrium design is investigated from an optimization perspective. Within this context, a specific but fairly broad class of noncooperative games are considered that have been applied to a variety of settings including network congestion control, wireless uplink power control, and optical power control. The Nash equilibrium(More)