NOMA eMBB 和 URLLC 用户的下链光谱切断电最小化 (NOMA Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users)

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Spectrum slicing of the shared radio resources is a critical task in 5G networks with heterogeneous services, through which each service gets performance guarantees. In this paper, we consider a setup in which a Base Station (BS) should serve two types of traffic in the downlink, enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC), respectively. Two resource allocation strategies are compared: non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA). A framework for power minimization is presented, in which the BS knows the channel state information (CSI) of the eMBB users only. Nevertheless, due to the resource sharing, it is shown that this knowledge can be used also to the benefit of the URLLC users. The numerical results show that NOMA leads to a lower power consumption compared to OMA for every simulation parameter under test.

翻译：在5G网络中,共享无线电资源的光谱断裂是一项关键任务,每个服务都通过这种网络获得绩效保障。在本文中,我们考虑建立一个基础站(BS)应分别服务于下行链路、增强的移动宽带和超可靠的低频通信的两种类型的交通。比较了两个资源分配战略:非横向多重接入(NOMA)和正方方位多重接入(OMA)。提出了一个减低权力的框架,其中BS只了解电子MBB用户的频道状态信息(CSI)。然而,由于资源共享,显示这种知识也可以用于帮助URLC用户。数字结果显示,与正在测试的每个模拟参数相比,NOMA的能量消耗低于OMA。