IFT received a contract from Michigan Technological University. In this AFRL funded project, IFT will team with Prof. Gerry Tian to develop an innovative multi-leader, multi-stage Stackelberg game framework for cognitive power control and waveform adaptation with anti-jamming capability. Space vehicles and air-/space-borne sensors are essential components for improved warfighting capabilities and enhanced defensive control over complex collaborative missions. Through intelligent command and control, air- and space-based network platforms act autonomously and communicate with ground-based networks and other units of the network-centric warfare (NCW) system to make warfighter missions more effective and affordable. To ensure end-to-end network performance as well as to improve mission-based criteria, it has been recognized that cognition capability, agile adaptability, and intelligent decision-making shall be leveraged in wireless network design for space-based networks and the entire NCW as a whole. Particularly for airborne networks in military operations, the unprecedented complexity and unpredictability of the operating environments, aggravated by the extremely high stake of network management effectiveness, makes it crucial to develop cognitive networking and management solutions that are context-aware, capable of predicting and tracking the network conditions, and agile in making intelligent plans and decisions according to both the network dynamics and the non-deterministic priorities of information and tasks.The goal of the project is to develop and testify a multi-leader, multi-stage Stackelberg game approach to cognitive power control and waveform adaptation with anti-jamming capability.