Cellular systems present one of the most suitable wireless technologies to efficiently serve critical machine-type communications (MTC) that require strict quality-of-service (QoS) guarantees. Therefore, ultra-reliable and low-latency communications is a target use case in the design of the upcoming generations of cellular networks. From the radio resource management perspective, guaranteeing such stringent QoS requirements in long term evolution (LTE) networks is a challenging task, especially in the case of the coexistence of MTC with the human-type communications (HTC). In this study, the authors address the resource allocation and scheduling problem of critical MTC that coexist with HTC in LTE. The optimisation problem is formulated such that the overall system utility is maximised while fulfilling the different QoS demands of the two sets of users. Utilising the effective bandwidth and effective capacity theories, a cross-layer design is developed to guarantee the QoS requirements of the critical MTC. For a computationally-efficient solution of the problem, they formulate it as a two-sided matching process that can be used as a practical scheduling scheme. To this end, they analyse the convergence, stability, and computational complexity of the proposed methods. Results reveal the close-to-optimal performance of the matching-based scheduling scheme and its superiority to other existing techniques.

中文翻译：

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LTE中与人类通信并存的关键MTC的跨层资源分配：一种双向匹配方法

蜂窝系统提出了一种最合适的无线技术，可以有效地服务于要求严格的服务质量（QoS）保证的关键机器类型通信（MTC）。因此，在下一代蜂窝网络的设计中，超可靠和低延迟的通信是目标用例。从无线电资源管理的角度来看，在长期演进（LTE）网络中保证如此严格的QoS要求是一项艰巨的任务，尤其是在MTC与人类通信（HTC）并存的情况下。在这项研究中，作者解决了与LTE中的HTC共存的关键MTC的资源分配和调度问题。制定优化问题，以便在满足两组用户的不同QoS要求的同时，最大化整个系统的效用。利用有效带宽和有效容量理论，开发了跨层设计来保证关键MTC的QoS要求。为了有效地解决此问题，他们将其表述为可以用作实际调度方案的双面匹配过程。为此，他们分析了所提出方法的收敛性，稳定性和计算复杂性。结果表明，基于匹配的调度方案具有接近最佳的性能，并且优于其他现有技术。开发了跨层设计以确保关键MTC的QoS要求。为了有效地解决此问题，他们将其表述为可以用作实际调度方案的双面匹配过程。为此，他们分析了所提出方法的收敛性，稳定性和计算复杂性。结果表明，基于匹配的调度方案具有接近最佳的性能，并且优于其他现有技术。开发了跨层设计以确保关键MTC的QoS要求。为了有效地解决此问题，他们将其表述为可以用作实际调度方案的双面匹配过程。为此，他们分析了所提出方法的收敛性，稳定性和计算复杂性。结果表明，基于匹配的调度方案具有接近最佳的性能，并且优于其他现有技术。