Generalized Nash Equilibrium approach for radio resource sharing and power allocation in vehicular networks

2020 ◽  
Vol 182 ◽  
pp. 107490
Author(s):  
Samira Chouikhi ◽  
Lyes Khoukhi ◽  
Moez Esseghir ◽  
Leila Merghem-Boulahia
2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Yifan Su ◽  
Feng Liu ◽  
Zhaojian Wang ◽  
Shengwei Mei ◽  
Qiang Lu

AbstractIn generalized Nash equilibrium (GNE) seeking problems over physical networks such as power grids, the enforcement of network constraints and time-varying environment may bring high computational costs. Developing online algorithms is recognized as a promising method to cope with this challenge, where the task of computing system states is replaced by directly using measured values from the physical network. In this paper, we propose an online distributed algorithm via measurement feedback to track the GNE in a time-varying networked resource sharing market. Regarding that some system states are not measurable and measurement noise always exists, a dynamic state estimator is incorporated based on a Kalman filter, rendering a closed-loop dynamics of measurement-feedback driven online algorithm. We prove that, with a fixed step size, this online algorithm converges to a neighborhood of the GNE in expectation. Numerical simulations validate the theoretical results.


2017 ◽  
Vol 51 (2) ◽  
pp. 329-341
Author(s):  
Nicolas Couellan

In this note, we investigate connections between supervised classification and (Generalized) Nash equilibrium problems (NEP & GNEP). For the specific case of support vector machines (SVM), we exploit the geometric properties of class separation in the dual space to formulate a non-cooperative game. NEP and Generalized NEP formulations are proposed for both binary and multi-class SVM problems.


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