Anti-jamming Channel Allocation in UAV-Enabled Edge Computing: A Stackelberg Game Approach

In edge computing, terminal devices can offload intensive computing tasks to edge servers to obtain high-performance computing services with low latency. Introducing unmanned aerial vehicles (UAVs) as relays can improve transmission efficiency. However, with the continuous expansion of UAVs' scale, resource management issues need to be solved urgently. In this paper, we study the anti-jamming channel assignment problem in the presence of multiple intelligent jammers for UAV-enabled edge computing scenarios. Each user is an offload-receive (or offload-relay-receive) pair of a computing task. Considering the mutual interference between users and the malicious jamming from smart jammers, we construct a multi-layer Stackelberg game model: the jammer is the leader, and the user is the follower. The user and the jammer consider their utility respectively, achieve the equilibrium state through iterations, and then obtain the optimal channel access scheme. Finally, we analyze the convergence and superiority of the proposed algorithm through simulation and performance comparison.