A Constrained Evolutionary Gaussian Multiple Access Channel Game
For game theory and communication systems, this work provides theoretical guarantees for equilibrium properties in a specific constrained game, but it is incremental as it extends known concepts to a new setting without empirical validation.
The paper formulates an evolutionary multiple access channel game with continuous actions and rate constraints, proving that pure Nash equilibria are Pareto optimal and strong equilibria. It analyzes performance via price of anarchy and examines long-run behavior under evolutionary dynamics.
In this paper, we formulate an evolutionary multiple access channel game with continuous-variable actions and coupled rate constraints. We characterize Nash equilibria of the game and show that the pure Nash equilibria are Pareto optimal and also resilient to deviations by coalitions of any size, i.e., they are strong equilibria. We use the concepts of price of anarchy and strong price of anarchy to study the performance of the system. The paper also addresses how to select one specifc equilibrium solution using the concepts of normalized equilibrium and evolutionary stable strategies. We examine the long-run behavior of these strategies under several classes of evolutionary game dynamics such as Brown-von Neumann-Nash dynamics, and replicator dynamics.