Maximum Channel Access Probability Based on Post-Disaster Ground Terminal Distribution Density

In post-disaster relief, how to design an efficient emergency communication system (ECS) to provide emergency communication service and improve channel access probability still remains a challenge. In this paper, we use Thomas cluster process (TCP) to model the locations of ground terminals (GT) and propose a new scheme to maximize channel access probability. The proposed emergency communication infrastructure includes a hovering helicopter and a Unmanned Aerial Vehicle (UAV) to provide communication service for GTs. Different from the existed work, an adaptive speed cruise model is proposed for the UAV depending on distribution density of GTs. Then, an efficient dynamic channel resource schedule method is proposed for system with limited channel resource. The channel access probability is formed as non convex optimization problem. The original non-convex optimization problem is transferred into a convex problem by analyzing objective function. An interior-point method is adopted to solve this problem. Extensive simulations are performed to evaluate the model by optimizing the UAV speed in different regions. The results show that the proposed new scheme outperforms the one with constant cruise speed for UAV and static scheduling for channel resource allocation.