The success of 5G networks relies on well-designed scheduling strategies that can tackle the increasing complexity of emerging mobile networks. Consequently, scheduling solutions are becoming more complicated, requiring high computational power and communication with very low latency. in this context, this work studies how to enhance existing scheduling solutions considering cellular networks with multi-connectivity, where users can have two or more simultaneous connections to different cells. Starting with a literature overview, we identify the main drawbacks of existing scheduling solutions for multi-connectivity scenarios. Then, we propose a novel scheduling concept that simplifies the scheduling task and overcomes several issues of existing scheduling solutions. The proposed solution logically splits the existing scheduling responsibilities across two simpler entities, thus it is named SRS. Furthermore, we propose a scheduling algorithm for practical SRS deployments, which is suitable for current and future multi-connectivity scenarios. Simulations show that the proposed solution has near-optimal performance in 5G multi-connectivity scenarios, when running in centralized and distributed architectures, while outperforming existing solutions by increasing the minimum user rate by 95 percent and the percentage of satisfied users by 50 percent at high system loads.

中文翻译：

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用于5G蜂窝网络中的多连接性的责任划分调度器

5G网络的成功取决于精心设计的调度策略，可以解决新兴移动网络日益复杂的问题。因此，调度解决方案变得越来越复杂，需要高计算能力和低延迟的通信。在这种情况下，这项工作研究了如何考虑具有多连接性的蜂窝网络来增强现有的调度解决方案，在这种网络中，用户可以同时连接两个或多个不同小区的连接。从文献概述开始，我们确定了用于多连接方案的现有调度解决方案的主要缺点。然后，我们提出了一种新颖的调度概念，该概念简化了调度任务并克服了现有调度解决方案的若干问题。所提出的解决方案在逻辑上将现有的调度职责划分为两个较简单的实体，因此将其称为SRS。此外，我们提出了一种用于实际SRS部署的调度算法，该算法适用于当前和将来的多连接方案。仿真表明，在集中式和分布式架构中运行时，所提出的解决方案在5G多连接场景中具有近乎最佳的性能，同时通过将最低用户率提高95％，将满意用户所占百分比提高50％，胜过现有解决方案系统负载。