SWIPT网络中保障物理层安全的保密能量效率优化

针对下行多用户携能通信网络中具有非线性特征的能量收集过程,提出了一种使用连续凸逼近方法的能量收集方案.该方案考虑授权用户对信息的安全性要求,构造了具有最大化保密能量效率的优化问题,联合优化了多用户的保密速率与网络能耗.为求解该多变量耦合的非凸优化问题,采用泰勒级数转换非凸函数,在连续凸逼近和Dinkelbach理论框架内,设计了满足最大保密能量效率要求的资源分配算法,获得了授权用户所需的最小输入功率.仿真实验的结果验证了该算法在最优化系统保密能量效率上的有效性.为多输入多输出或无法获得完整信道状态信息等更真实无线携能通信网络中通信安全及能量效率的研究提供了依据.

Secrecy energy efficiency optimization in SWIPT network with physical layer security ensured

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 SWIPT networks, such as multi-input multi-output(MIMO) or with incomplete channel state information.