基于能量效率的双层非正交多址系统资源优化算法

该文针对双层非正交多址系统(NOMA)中基于能量效率的资源优化问题，该文提出基于双边匹配的子信道匹配方法和基于斯坦科尔伯格(Stackelberg)博弈的功率分配算法。首先将资源优化问题分解成子信道匹配与功率分配两个子问题，在功率分配问题中，将宏基站与小型基站层视作斯坦科尔伯格博弈中的领导者与追随者。然后将非凸优化问题转换成易于求解的方式，分别得到宏基站和小型基站层的功率分配。最后通过斯坦科尔伯格博弈，得到系统的全局功率分配方案。仿真结果表明，该资源优化算法能有效地提升双层NOMA系统的能量效率。

Energy Efficient Based Resource Optimization Algorithm for Two-tier Non-Orthogonal Multiple Access Network

A subchannel matching method based on bilateral matching and a power allocation algorithm based on Stackelberg game are proposed for two-tier Non-Orthogonal Multiple Access (NOMA) network. Firstly, the resource optimization problem is decomposed into two subproblems—sub-channel matching and power allocation. In the power allocation, the macro base station layer and small base station layer are regarded as the leader and followers in the Stackelberg game. Then, the non-convex optimization problem is converted into a way to be easily solved, and the power allocation of the both layers are obtained respectively. Finally, the global power allocation scheme of the system is obtained by using Stackelberg game. The simulation results show that the proposed resource optimization algorithms can effectively improve the energy efficiency of the two-tier NOMA system.