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首页> 外文期刊>Arabian Journal for Science and Engineering >Delay-Aware Resource Allocation for M2M Communications Over LTE-A Networks
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Delay-Aware Resource Allocation for M2M Communications Over LTE-A Networks

机译：LTE-A网络上的M2M通信的延迟感知资源分配

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Machine-to-machine (M2M) communication is now a frequently used term owing to the knowledge of the Internet of Things. As the applications of the M2M increase, the number of M2M devices is predicted to highly increase in the next coming years. Presently, there is an attempt to improve the cellular networks to handle both human-to-human (H2H) and M2M communications. Integrating the M2M communication across the usual H2H communication is an important target owing to the predictable growth in the number of M2M devices that includes the distinctive features of the M2M traffic. To increase the efficiency of the usage of the LTE resource, the same resource is predicted to be used for H2H and M2M communications. Consequently, an efficient resource-scheduling plan is essential to manage an LTE network system including both M2M devices and H2H users. In this paper, we propose a delay-aware time-slotted resource allocation with a priority-based queuing model, which is designed especially for the LTE network including both M2M devices and H2H users. Resource scheduling provides the highest priority to H2H, in contrast to M2M, which is given the lowest priority. The high arrival rate of the users of H2H results in widespread starvation of M2M users; hence, it is likely to transmit some resources to M2M devices by postponing the H2H users up to QoS value, which does not have a negative impact on their quality. In the proposed schemes, the H2H users' priority is relaxed by delaying them in the LTE network up to the level that does not have a negative impact on the quality of the H2H users. Then, in addition to protecting the H2H users, the proposed schemes can increase the utilization of the M2M resource usage and reduce its average waiting delay. In addition, simulation and analytical models are developed in order to assess the performance measures of M2M in terms of average waiting delay (W) and average system delay (T). The results show that the proposed schemes provide better M2M performance while controlling the QoS level for H2H services.
机译：由于互联网的知识，机器到机器（M2M）通信现在是常用的术语。随着M2M增加的应用，预计未来几年的M2M设备的数量将高度增加。目前，试图改进蜂窝网络以处理人对人（H2H）和M2M通信。在通常的H2H通信中集成M2M通信是由于包括包括M2M流量的独特特征的M2M设备数量的可预测的增长，这是一个重要的目标。为了提高LTE资源的使用效率，预计将用于H2H和M2M通信的相同资源。因此，有效的资源调度计划对于管理包括M2M设备和H2H用户的LTE网络系统是必不可少的。在本文中，我们提出了一种利用基于优先级的排队模型的延迟感知的时隙资源分配，其特别适用于包括M2M设备和H2H用户的LTE网络。资源调度为H2H提供最高优先级，与M2M相比，其被赋予最低优先级。 H2H的用户的高到达率导致M2M用户的广泛饥饿;因此，通过将H2H用户推迟到QoS值，它可能会向M2M设备传输一些资源，这对其质量没有负面影响。在所提出的方案中，通过将LTE网络延迟到对H2H用户质量的水平延迟到LTE网络中的水平来放松H2H用户的优先级。然后，除了保护H2H用户之外，所提出的方案还可以增加M2M资源使用的利用率，并降低其平均等待延迟。此外，开发了模拟和分析模型，以便在平均等待延迟（W）和平均系统延迟（T）方面评估M2M的性能测量。结果表明，该方案在控制H2H服务的QoS级别时提供了更好的M2M性能。

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