Title :
A generalized Nash game for energy efficiency optimization: A quasi variational inequality approach
Author :
Stupia, I. ; Vandendorpe, Luc
Author_Institution :
Inst. of Inf. & Commun. Technol., Electron. & Appl. Math., Univ. Catholique de Louvain, Louvain la Neuve, Belgium
Abstract :
This paper presents the Nash equilibrium problem for a multipoint-to-multipoint network whose nodes aim at maximizing their energy efficiency. The original game is reformulated as a max-rate generalized Nash equilibrium problem with coupling among the strategy sets of the players, thus revealing the relationship between the spectral efficiency-and the energy efficiency-based equilibrium points in such a competitive scenario. This general game is then modeled resorting to the quasi-variational inequality framework. This provides us with all the mathematical tools necessary to analyze the features of the equilibrium points and devise novel distributed algorithms.
Keywords :
game theory; radio networks; telecommunication power management; energy efficiency maximization; energy efficiency optimization; energy efficiency-based equilibrium points; generalized Nash equilibrium problem; mathematical tools; multipoint-to-multipoint network; quasi variational inequality approach; spectral efficiency; Games; Green products; Nash equilibrium; Optimization; Resource management; Vectors; Wireless communication;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech