SWIPT 网络中保障物理层安全的保密能量效率优化.

For the nonlinear energy harvesting process in downlink multi-user simultaneous wireless information and power transfer network, this paper proposed a energy harvesting scheme using successive convex approximation. Considering the transmission security requirements of authorized users, the research aimed for maximizing the secrecy energy efficiency. It jointly optimized the security transmission rate of users and network energy consumption. To solve the non-convex optimization problem of multivariable coupling, it transformed non-convex function by Taylor series. In the theoretical framework combining successive convex approximation and Dinkelbach algorithm, it designed a resource allocation algorithm satisfying maximum secrecy energy efficiency requirement to obtain the minimum input power required by the authorized users. Simulation results show that the algorithm is effective in optimizing the secrecy energy efficiency of the system. The research provides a basis for the study of communication security and energy efficiency in more real SWIFT networks, such as multi-input multi-output (MIMO) or with incomplete channel state information. [ABSTRACT FROM AUTHOR]