Power allocation game for interference mitigation in a real-world experimental testbed

In this paper we propose a methodology for the experimental evaluation of a simple yet efficient power allocation game on a real-world outdoor experimental testbed. We adapt the existing theoretical framework and the ProActive Power Update (PAPU) algorithm to suit the constraints imposed by the LOG-a-TEC low-cost reconfigurable testbed. The resulting framework is implemented and evaluated in the ISM 2.4 GHz band. We study the effects of the empirical parameter estimation on the best response and players´ strategies which represent the Nash equilibra. Our results show that for a certain cost range, the system can reach Nash equilibria. The equilibria and the convergence time are strongly influenced by each player´s cost but also by the channel gains.