基于贪婪轮循调度的5G数据流量管理解决方案

E. Elamaran, B. Sudhakar
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引用次数: 5

摘要

任何具有周期和间隔的资源块,可以对信道质量进行反馈,从而允许调度器在下行链路中优化信道实用程序。控制5G网络上的数据流量是一项具有挑战性的任务。本文提出的基于资源调度的设计框架可以克服这一挑战,采用基于贪婪的轮循调度(GBRRS)方法,从用户设备(UE)内部的初始级别控制资源调度块的数据分配,该调度算法用于无线电分割过程。该算法可以克服贪心调度的距离长和特定任务的舍入问题。基于路径损耗、吞吐量、QoS违反概率和用户容量的性能评估,采用在mat lab R2014b中实现的仿真。
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Greedy Based Round Robin scheduling solution for Data Traffic management in 5G
Any resource block with the period and the spacing, which enable feedback on the channel quality, which allow the scheduler in the downlink with the optimization of channel utility. A control of data traffic over the 5G network be the challenging task. In this paper the proposed work can overcome the challenges by using the design frame work based on the resource scheduling by using the Greedy based round Robin Scheduling (GBRRS) method, which control the data allocation from the initial level inside of the User Equipment (UE) of the resource scheduling blocks, the scheduling algorithm used in the radio segmentation processes. The long distance of the greedy scheduling and the rounding off specific task can be overcome by using the proposed algorithm. The performance evaluation based on the path loss, throughput, QoS violation probability and user capacities by using the simulation implemented in the mat lab R2014b.
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