NOMA增强型D2D组的鲁棒资源分配算法

Robust resource allocation algorithm for NOMA enhanced D2D groups

为提高非正交多址接入(non-orthogonal multiple access,NOMA)增强型设备到设备(device-to-device,D2D)组链路的鲁棒性和能效,考虑非理想信道状态信息(channel station information,CSI),提出一种能效优化的鲁棒资源分配算法.首先,在保证子信道分配、蜂窝用户和D2D组最小速率以及D2D组最大传输功率约束下,建立最大最小鲁棒能效模型;其次,考虑最坏情况法将信道不确定性建模为有界信道估计误差,并用泰勒级数展开式、凸松弛、变量转换法将原多变量耦合问题转化为凸优化问题;最后,用拉格朗日对偶理论求解.仿真结果表明,所提出的算法将传输速率控制在最低速率阈值以上,具有良好的鲁棒性,与其他算法相比能效提高了8.3%.

In order to improve the robustness and energy efficiency of non-orthogonal multiple access(NOMA)enhanced device to device(D2D)group links,a robust resource allocation algorithm with energy efficiency optimization is proposed considering the imperfect channel station information(CSI).Firstly,the maximum and minimum robust energy efficiency model is established under the constraints of guaranteed subchannel allocation,minimum rate of cellular users and D2D group,and maximum transmission power of D2D group.Secondly,the channel uncertainty is modeled as a bounded channel estimation error by considering the worst case method,and the original multivariable coupling problem is transformed into a convex optimization problem by using Taylor series expansion,convex relaxation and variable transformation methods.Finally,it use Lagrangian duality theory to solve it.Simulation results show that the proposed algorithm controls the transmission rate above the minimum rate threshold,has good robustness,and improves energy efficiency by 8.3%compared to other algorithms.