论文标题
与CSI不完美的NOMA无人机网络的能源效率优化
Energy Efficiency Optimization for NOMA UAV Network with Imperfect CSI
论文作者
论文摘要
由于灵活的部署和访问服务，无人驾驶飞机（UAV）正在迅速发展。但是，通过移动部署无人机形成的低空通信链接的通道错误不可忽视。无人机通信与不完美的通道状态信息（CSI）的能源效率尚未得到很好的研究。因此，考虑到无人机和用户之间不完美的CSI，我们专注于非正交多访问（NOMA）无人机网络中的系统性能优化。次优的资源分配方案，包括用户调度和功率分配，旨在最大化能源效率。由于优化函数的非概念性对CSI的概率约束，因此将原始问题转换为非概率问题，然后将其解耦为两个凸子问题。首先，通过凸编程的差异，将用户调度方法应用于用户和子渠道的两侧匹配。然后，基于用户调度，通过连续的凸近似方法，通过次优的功率分配算法优化了无人机细胞中的能源效率。模拟结果证明，与现有资源分配方案相比，所提出的算法是有效的。
Unmanned aerial vehicles (UAVs) are developing rapidly owing to flexible deployment and access services as air base stations. However, the channel errors of low-altitude communication links formed by mobile deployment of UAVs cannot be ignored. And the energy efficiency of the UAVs communication with imperfect channel state information (CSI) hasnt been well studied yet. Therefore, we focus on system performance optimization in non-orthogonal multiple access (NOMA) UAV network considering imperfect CSI between the UAV and users. A suboptimal resource allocation scheme including user scheduling and power allocation is designed for maximizing energy efficiency. Because of the nonconvexity of optimization function with an probability constraint for imperfect CSI, the original problem is converted into a non-probability problem and then decoupled into two convex subproblems. First, a user scheduling method is applied in the two-side matching of users and subchannels by the difference of convex programming. Then based on user scheduling, the energy efficiency in UAV cells is optimized through a suboptimal power allocation algorithm by successive convex approximation method. The simulation results prove that the proposed algorithm is effective compared with existing resource allocation schemes.
