Optimization of STAR-RIS Assisted Wireless Powered Communication Network
In this paper,a wireless energy supply communication network assisted by reconfigurable intelligent surface with simultaneous transmission and reflection(STAR-RIS)is proposed,in which two sensor node groups(SNGs)utilize the wireless energy signals from the power supply station(PS)to harvest the energy and use the harvested energy to send their information to the access points(APs).STAR-RIS is deployed in the middle of two SNGs to provide assistance for wireless information transmission.The phase shift parameters and communication resource allocation of STAR-RIS are jointly optimized to maximize the system throughput.Due to the non-convexity of the optimization problem,block coordinate descent is used to solve the problem.By introducing auxiliary variables and using successive convex approximation and penalty function method,the original problem is transformed into a convex problem.The experimental results show that the proposed communication scheme can provide higher performance gain for the system.
STAR-RISwireless powered communication networkconvex problem
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