uRLLC and eMBB are two influential services of the emerging 5G cellular network. Latency and reliability are major concerns for uRLLC applications, whereas eMBB services claim for the maximum data rates. Owing to the trade-off among latency, reliability and spectral efficiency, sharing of radio resources between eMBB and uRLLC services, heads to a challenging scheduling dilemma. In this paper, we study the co-scheduling problem of eMBB and uRLLC traffic based upon the puncturing technique. Precisely, we formulate an optimization problem aiming to maximize the MEAR of eMBB UEs while fulfilling the provisions of the uRLLC traffic. We decompose the original problem into two sub-problems, namely scheduling problem of eMBB UEs and uRLLC UEs while prevailing objective unchanged. Radio resources are scheduled among the eMBB UEs on a time slot basis, whereas it is handled for uRLLC UEs on a mini-slot basis. Moreover, for resolving the scheduling issue of eMBB UEs, we use PSUM based algorithm, whereas the optimal TM is adopted for solving the same problem of uRLLC UEs. Furthermore, a heuristic algorithm is also provided to solve the first sub-problem with lower complexity. Finally, the significance of the proposed approach over other baseline approaches is established through numerical analysis in terms of the MEAR and fairness scores of the eMBB UEs.

中文翻译：

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5G无线网络中eMBB和uRLLC的共存机制

uRLLC 和 eMBB 是新兴的 5G 蜂窝网络的两项有影响力的服务。延迟和可靠性是 uRLLC 应用程序的主要问题，而 eMBB 服务要求最大数据速率。由于延迟、可靠性和频谱效率之间的权衡，eMBB 和 uRLLC 服务之间的无线电资源共享，导致了具有挑战性的调度困境。在本文中，我们研究了基于打孔技术的 eMBB 和 uRLLC 流量的协同调度问题。准确地说，我们制定了一个优化问题，旨在在满足 uRLLC 流量规定的同时最大化 eMBB UE 的 MEAR。我们将原始问题分解为两个子问题，即 eMBB UE 和 uRLLC UE 的调度问题，而主要目标不变。基于时隙在 eMBB UE 之间调度无线电资源，而它是在迷你时隙基础上为 uRLLC UE 处理的。此外，为了解决 eMBB UE 的调度问题，我们使用基于 PSUM 的算法，而采用最优 TM 来解决 uRLLC UE 的相同问题。此外，还提供了一种启发式算法来解决具有较低复杂度的第一个子问题。最后，通过对 eMBB UE 的 MEAR 和公平性分数的数值分析，确定了所提出的方法相对于其他基线方法的重要性。