Method for maximizing minimum safety rate of RIS-assisted drone NOMA network

The invention discloses a method for optimizing the safety rate of an unmanned aerial vehicle NOMA network assisted by an RIS, and the method achieves the maximization of the minimum safety rate of the unmanned aerial vehicle NOMA network under the condition of considering the fairness between legal users and the statistical CSI of an eavesdropping channel and meeting the safety outage probability, the maximum transmitting power of the unmanned aerial vehicle, the SIC decoding sequence and the RIS phase shift constraint. According to the method, a maximum minimum safety rate model of an unmanned aerial vehicle NOMA network based on RIS assistance is established, firstly, safety outage probability constraints are converted into deterministic constraints by introducing auxiliary variables, a non-convex optimization problem is equivalently converted into a convex optimization problem based on methods such as penalty and successive convex approximation, then, an alternating iteration algorithm is used, and the ma