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A Complete LTE Mathematical Framework for the Network Slice Planning of the EPC
IEEE Transactions on Mobile Computing ( IF 7.9 ) Pub Date : 2020-01-01 , DOI: 10.1109/tmc.2018.2890235
Jonathan Prados-Garzon , Abdelquoddouss Laghrissi , Miloud Bagaa , Tarik Taleb , Juan M. Lopez-Soler

5G is the next telecommunications standards that will enable the sharing of physical infrastructures to provision ultra short-latency applications, mobile broadband services, Internet of Things, etc. Network slicing is the virtualization technique that is expected to achieve that, as it can allow logical networks to run on top of a common physical infrastructure and ensure service level agreement requirements for different services and applications. In this vein, our paper proposes a novel and complete solution for planning network slices of the LTE EPC, tailored for the enhanced Mobile BroadBand use case. The solution defines a framework which consists of: i) an abstraction of the LTE workload generation process, ii) a compound traffic model, iii) performance models of the whole LTE network, and iv) an algorithm to jointly perform the resource dimensioning and network embedding. Our results show that the aggregated signaling generation is a Poisson process and the data traffic exhibits self-similarity and long-range-dependence features. The proposed performance models for the LTE network rely on these results. We formulate the joint optimization problem of resources dimensioning and embedding of a virtualized EPC and propose a heuristic to solve it. By using simulation tools, we validate the proper operation of our solution.

中文翻译:

EPC网络切片规划的完整LTE数学框架

5G 是下一个电信标准,它将支持共享物理基础设施以提供超短延迟应用程序、移动宽带服务、物联网等。网络切片是有望实现这一目标的虚拟化技术,因为它可以允许逻辑网络运行在公共物理基础设施之上,并确保不同服务和应用程序的服务级别协议要求。在这方面,我们的论文提出了一种新颖且完整的解决方案,用于规划 LTE EPC 的网络切片,专为增强型移动宽带用例量身定制。该解决方案定义了一个框架,其中包括:i) LTE 工作负载生成过程的抽象,ii) 复合流量模型,iii) 整个 LTE 网络的性能模型,iv) 一种联合执行资源维度和网络嵌入的算法。我们的结果表明,聚合信号生成是一个泊松过程,数据流量表现出自相似性和长距离依赖特征。为 LTE 网络提出的性能模型依赖于这些结果。我们制定了虚拟化 EPC 的资源维度和嵌入的联合优化问题,并提出了一种启发式方法来解决它。通过使用模拟工具,我们验证了我们解决方案的正确运行。我们制定了虚拟化 EPC 的资源维度和嵌入的联合优化问题,并提出了一种启发式方法来解决它。通过使用模拟工具,我们验证了我们解决方案的正确运行。我们制定了虚拟化 EPC 的资源维度和嵌入的联合优化问题,并提出了一种启发式方法来解决它。通过使用模拟工具,我们验证了我们解决方案的正确运行。
更新日期:2020-01-01
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