Joint Coverage and Power Control in Highly Dynamic and Massive UAV Networks: An Aggregative Game-theoretic Learning Approach

Understand

Unmanned aerial vehicles (UAV) ad-hoc network is a significant contingency plan for communication after a natural disaster, such as typhoon and earthquake.

• To achieve efficient and rapid networks deployment, we employ noncooperative game theory and amended binary log-linear algorithm (BLLA) seeking for the Nash equilibrium which achieves the optimal network performance.
• We not only take channel overlap and power control into account but also consider coverage and the complexity of interference.
• However, extensive UAV game theoretical models show limitations in post-disaster scenarios which require large-scale UAV network deployments.