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Dynamic Multiconnectivity Based Joint Scheduling of eMBB and uRLLC in 5G Networks

机译:基于动态多连接性的5G网络中的emb和Urllc的联合调度

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摘要

Multiple use cases are the dominant feature for the fifth-generation mobile communication system (5G). Enhanced mobile broadband (eMBB) and ultrareliability low latency communication (uRLLC) are considered as two main scenarios. Different from the eMBB, which requires high data rate, the uRLLC requires extremely high reliability and very low latency. With multiple demands, the coexistence of eMBB and uRLLC will be an urgent challenge for the 5G networking strategy. In this article, a dynamic multiconnectivity (MC)-based joint scheduling framework with traffic steering for eMBB and uRLLC is proposed. The eMBB and uRLLC are specifically sliced with each other, which avoids the queue of uRLLC. A modified effective capacity (EC) model is proposed to measure the performance of our framework, which improves the throughput of eMBB under the guarantee of uRLLC latency. The proposed EC model turns the analytical target to the queue of users, different from the queue of base stations in traditional EC model. By a two-step optimization, the typical mixed integer nonlinear programming conducted by the EC model is decomposed into the integral programming and the nonlinear programming. The system-level simulation results show the proposed framework enhances the system throughput effectively while guaranteeing the uRLLC latency.
机译:多用例是第五代移动通信系统(5G)的主导特征。增强的移动宽带(EMBB)和Utrarbiaces低延迟通信(URLLC)被视为两个主要场景。不同于embb的不同,这需要高数据速率,URLLC需要极高的可靠性和非常低的延迟。具有多种要求,嵌入式和URLLC的共存将是5G网络策略的紧急挑战。在本文中,提出了一种具有用于embB和URLLC的流量转向的动态多连接性(MC)的关节调度框架。 eMBB和URLLC彼此专门切换,避免了URLLC的队列。提出了一种修改的有效容量(EC)模型来衡量我们框架的性能,这提高了URLLC延迟保证下的伯曼的吞吐量。所提出的EC模型将分析目标转变为用户的队列,与传统EC模型中的基站队列不同。通过两步优化,EC模型传导的典型混合整数非线性编程被分解成积分编程和非线性编程。系统级仿真结果表明,所提出的框架在保证URLLC延迟的同时有效增强了系统吞吐量。

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