论文标题
SCMA能源效率的子载波分配和功率分配
Subcarrier Assignment and Power Allocation for SCMA Energy Efficiency
论文作者
论文摘要
在本文中，我们提出了用于上行链路稀疏代码多访问（SCMA）网络的资源分配算法，以最大化能源效率（EE）。由于因子图矩阵和功率分配矩阵的联合优化，EE最大化是一种非凸层混合构成非线性程序（MINLP）问题。将上行链路总和速率的非凸形形式转换为凸一个并分离子载体分配和功率分配后，我们提出了一种能效的子载体分配算法。通过基于Dinkelbach方法应用分数编程理论，我们提出了功率分配算法来最大化EE。最后，仿真结果表明，所提出的资源分配算法可以显着增加上行链路SCMA网络的EE。
In this paper we propose resource allocation algorithm for uplink sparse code multiple access (SCMA) networks to maximize the energy efficiency (EE). Due to the joint optimization of factor graph matrix and power allocation matrix, the EE maximization is a non-convex mixed-integer non-linear program (MINLP) problem. After transforming the non-convex form of the uplink sum rate to a convex one and separating subcarrier assignment and power allocation, we propose an energy efficient subcarrier assignment algorithm. By applying the fractional programming theory based on Dinkelbach method, we then propose power allocation algorithm to maximize EE. Finally, the simulation results show that the proposed resource allocation algorithm can significantly increase the EE of the uplink SCMA network.
