Robust Resource Allocation Algorithm in MU-MISO Backscatter Communication Systems with Eavesdroppers
Focusing on the problems of inaccurate channel estimation and easy eavesdropping of information in backscatter communication systems,a robust resource allocation algorithm for Multi-User Multi-Input Single-Output(MU-MISO)backscatter communication systems based on user eavesdropping is proposed to improve the transmission robustness and information security of the systems.Firstly,considering the constraints on the maximum power of the base station,time allocation,channel uncertainties,energy collection,and security rate,a robust resource allocation problem for MU-MISO backscatter communication systems is established.Secondly,based on the nonlinear energy harvesting model and the bounded spherical uncertainty model,the original NP-hard problem is transformed into a deterministic one by using the variable relaxation and S-Procedure methods,and then it is transformed into a convex optimization problem by using successive convex approximation,semi-positive definite relaxation and block coordinate descent methods.Simulation results show that the proposed algorithm has higher system capacity and lower outage probability compared with the traditional non-robust algorithm.
Backscatter communicationPhysical layer securityNonlinear energy harvesting modelRobust resource allocation
万方数据
维普
