Distance and Velocity Driven Distributed Channel Resource Allocation for Aircraft Networks

Aircraft networks facilitate state exchange, data transmission, and relative measurement among nodes, forming a critical foundation for cooperative missions. However, variations in relative distance and velocity lead to different link qualities; consequently, the network may experience performance degradation or even communication outages without timely channel resource scheduling. Distributed channel resource scheduling, by removing the reliance on centralized control nodes, offers the flexibility and robustness required for dynamic mission scenarios. While existing approaches primarily focus on mitigating the adverse effects of distance and velocity variations, few explicitly exploit these characteristics for more efficient resource allocation. To address these challenges, this paper proposes a distance and velocity driven distributed channel resource allocation method by mapping inter-aircraft distance and velocity differences onto the delay-Doppler domain and performing distributed scheduling within a public goods game framework. Link transmission rate is evaluated with practically feasible modulation and coding schemes to capture realistic payload constraints. A probabilistic strategy switching mechanism is introduced to control the switching priority of each link, and redundant utility functions are employed to evaluate switching gains for each strategy, thereby enhancing scheduling flexibility and improving the minimum transmission rate. Simulation results demonstrate that the proposed method achieves faster convergence with fewer strategy switching rounds and provides more than a 15.7% improvement in the minimum transmission rate compared with representative benchmark algorithms under sufficient channel resources.