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User Clustering and Power Allocation for mmWave MIMO-NOMA with IoT devices

机译:具有IOT设备的MMWVES MIMO-NOMA的用户群集和功率分配

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Non-orthogonal multiple access (NOMA) has been recently considered in millimeter-wave (mmWave) massive MIMO systems to further enhance the spectrum efficiency. Massive connectivity and low latency are two important challenges for the Internet of Things (IoT) to achieve the quality of service provisions required by the numerous devices. Motivated by these challenges, we propose a power domain mmWave NOMA scheme based on user clustering. In particular, considering the quality of service (QoS) requirements, the machine type communication (MTC) devices are assigned to different ranks in the NOMA cluster, where they are transmitted through the same frequency resource. In this paper, investigate the power allocation problem as a weighted sum rate maximization problem. To solve this non-convex problem with high-dimensional variables, we transform the problem into a convex form by introducing two sets of auxiliary variables. In addition, we propose an iterative algorithm to obtain the optimal solution of power allocation by updating the weight factors and the auxiliary variables. Finally, we give the simulation results to verify the effectiveness of our scheme.
机译:最近在毫米波(MMWAVE)大规模MIMO系统中被考虑了非正交多址(NOMA),以进一步提高频谱效率。大规模的连接和低延迟是事物互联网(物联网)的两个重要挑战,以实现众多设备所需的服务质量。通过这些挑战的激励,我们提出了一种基于用户聚类的电源域MMWAVE NOMA方案。特别是,考虑到服务质量(QoS)要求,机器类型通信(MTC)设备被分配给NOMA簇中的不同等级,在那里它们通过相同的频率资源传输。在本文中,调查权力分配问题作为加权率最大化问题。为了解决高维变量的非凸面问题,我们通过引入两组辅助变量将问题转换为凸形表单。另外,我们提出了一种迭代算法来获得通过更新权重因子和辅助变量来获得功率分配的最佳解决方案。最后,我们给出了模拟结果来验证我们计划的有效性。

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