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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：由于物联网的知识，机器对机器（M2M）通信现在是一个经常使用的术语。随着M2M应用的增加，在未来几年中M2M设备的数量预计将大大增加。当前，正在尝试改进蜂窝网络以处理人对人（H2H）和M2M通信。由于包括M2M流量的独特功能在内的M2M设备数量的可预测增长，因此将M2M通信与常规H2H通信进行集成是一个重要的目标。为了提高LTE资源的使用效率，预计将相同的资源用于H2H和M2M通信。因此，有效的资源调度计划对于管理同时包括M2M设备和H2H用户的LTE网络系统至关重要。在本文中，我们提出了一种基于优先级的排队模型，用于延迟感知的时隙资源分配，该模型专门针对包括M2M设备和H2H用户的LTE网络而设计。与被赋予最低优先级的M2M相比，资源调度为H2H提供了最高优先级。 H2H用户的高到达率导致M2M用户普遍挨饿；因此，有可能通过将H2H用户推迟到QoS值来向M2M设备传输一些资源，这不会对其质量产生负面影响。在所提出的方案中，通过将他们在LTE网络中延迟到对H2H用户的质量没有负面影响的水平来放宽H2H用户的优先级。然后，除了保护H2H用户外，所提出的方案还可以提高M2M资源使用率的利用率并减少其平均等待延迟。此外，开发了仿真和分析模型，以便根据平均等待延迟（W）和平均系统延迟（T）评估M2M的性能指标。结果表明，所提出的方案在控制H2H服务的QoS级别的同时，提供了更好的M2M性能。

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