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Modelling Multi-connectivity in 5G NR Systems with Mixed Unicast and Multicast Traffic

机译:用混合单播和组播流量建模5G NR系统中的多连接

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3GPP New Radio (NR) radio access technology operating in millimeter wave (mmWave) frequency band is considered as key enabler for Fifth-generation (5G) mobile system. Despite the enormous available bandwidth potential, mmWave signal transmissions suffer from fundamental technical challenges like severe path loss, sensitivity to blockage, directivity, and narrow beamwidth, due to its short wavelengths. To address the problem of quality degradation due to the line-of-sight (LoS) blockage by various objects in the channel, 3GPP is currently working on multi-connectivity (MC) mechanisms that allow a user to remain connected to several mmWave access points simultaneously as well as switch between them in case its active connection drops. In this paper, exploiting the methods of stochastic geometry and queuing theory we propose a model of 5G NR base station (BS) serving a mixture of unicast and multicast traffic. MC techniques is proposed to be used for cell-edge users. The proposed model is validated against computer simulations in terms of session drop probabilities and system resource utilization metrics. Our findings are illustrated with a numerical example.
机译:3GPP新型无线电(NR)在毫米波(MMWAVE)频带中操作的无线电接入技术被认为是第五代(5G)移动系统的关键推动器。尽管有巨大的可用带宽潜力,但MMWAVE信号传输遭受基本技术挑战,如严重的路径损失,堵塞,方向性和窄波束宽度的敏感性,由于其短波长。为了解决由于频道中的各种对象的视线(LOS)阻塞而解决了质量下降的问题,3GPP目前正在研究多连接(MC)机制,允许用户保持连接到几MMWAVE接入点同时以及它们之间的开关,以防主动连接液滴。在本文中,利用随机几何和排队理论的方法,我们提出了一种服务于单播和多播流量的混合的5G NR基站(BS)模型。提出MC技术用于用于细胞边缘用户。在会话降概率和系统资源利用率指标方面,该建议的模型针对计算机模拟验证。我们的研究结果用数字示例说明。

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