To overcome the effect of channel estimation errors on the ineffectiveness of conventional optimal resource allocation algorithms,a robust resource allocation algorithm with imperfect Channel State Information(CSI)is proposed in Multiple-Input Single-Output(MISO)symbiotic radio systems.Considering the constraints of the minimum throughput of users,transmission time,maximum transmit power of the base station,and the reflection coefficients of users,based on bounded channel uncertainties,a robust throughput-maximization resource allocation problem is formulated by jointly optimizing transmission time,beamforming vectors,and reflection coefficients.The original problem is transformed into a convex problem by applying the Lagrange dual theory,the variable substitution,and the alternating optimizing methods.Simulation results verified that the throughput of the proposed algorithm is improved by 11.7％and the outage probability is reduced by 5.31％by comparing it with the non-robust resource allocation algorithm.
维普
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