To improve spectral efficiency, transmission robustness, and information security of backscatter communication networks, a robust secure resource allocation algorithm is proposed for cognitive backscatter communication networks with hardware impairments. Firstly, considering the constraints of the minimum secure rate of each cognitive backscatter user, transmission time, energy harvesting, and reflection coefficients, a multivariable coupled resource allocation problem with throughput maximization is established under bounded channel uncertainties and spectrum sensing errors. Secondly, the original problem is transformed into a convex problem by using a worst-case approach, successive convex approximation, alternating optimization, and an iteration-based robust resource allocation algorithm is proposed to solve it. Simulation results show that the proposed algorithm has better robustness by comparing it with the existing algorithms.
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