Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Repeated games, duality and the central limit theorem
Mathematics of Operations Research
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Improvements of some projection methods for monotone nonlinear variational inequalities
Journal of Optimization Theory and Applications
An extension of duality to a game-theoretic framework
Automatica (Journal of IFAC)
On generalized Nash games and variational inequalities
Operations Research Letters
Computational Optimization and Applications
Hi-index | 22.14 |
We consider games in optical networks in the class of m-player games with coupled utilities and constraints. Nash equilibria of such games can be computed based on recent extension of duality to a game theoretical framework. This work extends previous results on games with coupled constraints in optical links to multi-link topologies. Coupled constraints in optical networks are propagated along links, which introduces additional complexities for analysis. Specifically, convexity of the propagated constraints is no longer automatically ensured. We show that convexity is satisfied for single-sink multi-link topologies. The general case of multi-links with arbitrary sources and sinks is dealt with by a partitioned game with stages. We exploit the single-sink structure of each stage and the ladder-nested form of the game and we discuss iterative computation of equilibria based on a three-level hierarchical algorithm and prove its convergence under certain conditions.