Game theory in wireless and cognitive radio networks - Coexistence perspective

The coexistence of traditional radio systems in factory automation operating in parallel may be achieved by decoupling the spectrum either in time, frequency, space or code. There is a growing interest in cognitive radio (CR) to overcome a spectrum scarcity problem. The CR is intended to coexist with primary users (PUs) by using either of the white, grey or black spectrum holes by using the software and the hardware re-configurability. It is considered as a future radio technology that will be aware of its surrounding environment, internal state and can make the strategic decisions about its radio operating behavior to achieve the predefined objectives. The game theory is a dominating paradigm which can be used to analyze the strategic interaction for decision makers (cognitive nodes) in cooperative or competitive environments for complex decision situations. This contribution focuses firstly on how game theory can be applied in industrial wireless systems, especially concerning the interference reduction interests for mobile industrial applications and their real-time QoS requirements e.g. automated guided vehicles in industrial automation network for connecting the field devices: sensors and actuators. Secondly, it focuses on how the Bayesian games of incomplete information can be applied in industrial cognitive radio networks, where the moving nodes (e.g. Robotics) have some uncertainty about the other player's payoffs. The statistical learning techniques and a radio environment map (REM) can be used to map the uncertainties (by Bayes' rule).