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In this work, we propose a robust and efficient resource allocation scheme for UAV-enabled cellular networks that aid in disaster communications. To recover the network within a disaster area, a fast user clustering model based on K-means procedure and distributed control power coefficient will be proposed and can be embedded in the real system by using UAV-assisted relaying for real-time recovering and maintaining network during and after disasters. Algorithms of low computational complexity and fast convergence are also proposed. Numerical examples are provided to demonstrate the benefit of the proposed computational approach.