Network slicing has been a significant technological advance in the 5G mobile network allowing delivery of diverse and demanding requirements. The slicing grants the ability to create customized virtual networks from the underlying physical network, while each virtual network can serve a different purpose. One of the main challenges yet is the allocation of resources to different slices, both to best serve different services and to use the resources in the most optimal way. In this paper, we study the radio resource slicing problem for Ultra-Reliable Low Latency Communications (URLLC) and enhanced Mobile Broadband (eMBB) as two prominent use cases. The URLLC and eMBB traffic is multiplexed over multiple numerologies in 5G New Radio, depending on their distinct service requirements. Therein, we present our optimization algorithm, Mixed-numerology Mini-slot based Resource Allocation (MiMRA), to minimize the impact on eMBB data rate due to puncturing by different URLLC traffic classes. Our strategy controls such impact by introducing a puncturing rate threshold. Further, we propose a scheduling mechanism that maximizes the sum rate of all eMBB users while maintaining the minimum data rate requirement of each eMBB user. The results obtained by simulation confirm the applicability of our proposed resource allocation algorithm.

中文翻译：

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已知和未知形状的扩展车辆目标雷达的克拉默-饶界分析


网络切片是 5G 移动网络的一项重大技术进步，可以满足多样化和苛刻的要求。切片赋予从底层物理网络创建定制虚拟网络的能力，而每个虚拟网络可以服务于不同的目的。主要挑战之一是将资源分配到不同的切片，以便最好地服务于不同的服务并以最优化的方式使用资源。在本文中，我们研究了超可靠低延迟通信（URLLC）和增强型移动宽带（eMBB）的无线电资源切片问题，这两个突出的用例。 URLLC 和 eMBB 流量根据其不同的服务要求在 5G 新无线电中通过多种参数复用。其中，我们提出了我们的优化算法——基于混合数字学迷你时隙的资源分配（MiMRA），以最大限度地减少由于不同 URLLC 流量类别的打孔而对 eMBB 数据速率的影响。我们的策略通过引入穿刺率阈值来控制这种影响。此外，我们提出了一种调度机制，可以最大化所有 eMBB 用户的总速率，同时保持每个 eMBB 用户的最小数据速率要求。仿真获得的结果证实了我们提出的资源分配算法的适用性。