In this chapter, we study power savings, user mobility, and data queues. Section 3.1 examines dynamic power control and allocation problems in wireless environment. Section 3.1.1 introduces a dynamic power control problem. Dynamic power allocation problems are presented in Sect. 3.1.2. Section 3.2 provides a very simple but detailed and meaningful model of the network characteristics that influence the performances in large-scale regime in the presence or not of the licensed users. In Sect. 3.2.1, we define the key parameters of the model and the performance metrics. In Sect. 3.2.8, we present spatiotemporal game theoretic formulations in cognitive radio networks. Section 3.2.9 presents a game that can be seen as a reaction to the interference field. In Sect. 3.2.9.1, an asymptotic mean-field stochastic game is proposed. A deterministic version of the problem is examined in Sect. 3.2.9.1. Section 3.3 focuses on mobility and power savings in wireless networks. Section 3.4 examines anti-jamming mean-field games. In 3.4.1, we present the basic cognitive radio model and describe the key parameters of the performance metrics. In Sect. 3.4.2.1, we present global optimization and micro game problems between secondary users. In Sect. 3.4.3, we formulate the hierarchical mean-field game and develop an algorithm for power savings and probability of success optimization. In Sect. 3.4.5, we explain how to extend the basic model to more realistic cognitive radio networks scenarios based on SINR-based CSMA-like access with multiple primary users and multiple secondary users.