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Joint Wireless Access-Backhaul Network Slicing and Content Caching Optimization

机译：联合无线访问 - 回程网络切片和内容缓存优化

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摘要

Network slicing is a novel paradigm shift in the fifth-generation (5G) virtualized wireless network design, which enables to reduce the operation cost (OPEX), improve network resource utilization efficiency, and speed up new service deployment. Wireless backhauling has been also recognized as an important and promising 5G network element to further ease network implementation and reduce OPEX. Meanwhile, intelligent content caching, which places popular contents at the network edge, can help relieve the backhaul congestion and improve user quality of service (QoS). Joint content caching and network slicing in the wireless backhaul based 5G networks, however, present great potential and challenges. In this paper, we study the joint resource allocation and content caching problem which aims to efficiently orchestrate the resource management in both wireless access and backhaul networks and caching storage repository. Our design objective is to minimize the maximum content request outage probability experienced by users associated with different cells and from different mobile virtual network operators (MVNOs). The underlying optimization problem is a mixed- integer non-linear program (MINLP), which is difficult to tackle. We propose a bisection-search based algorithm that iteratively optimizes the resource allocation and content caching strategy. The efficacy of our proposed framework is confirmed by extensive numerical results, which shows the significant reduction of request outage probability compared to other benchmark algorithms.
机译：网络切片是第五代（5G）虚拟化无线网络设计中的新型范式偏移，这使得能够降低运营成本（OPEX），提高网络资源利用效率，并加快新的服务部署。无线回程也被认为是一个重要和有希望的5G网络元素，以进一步缓解网络实现并减少OPEX。同时，智能内容缓存，将流行内容放在网络边缘，可以帮助缓解回程拥塞并提高用户服务质量（QoS）。然而，基于无线回程的5G网络中的联合内容缓存和网络切片，呈现出极大的潜力和挑战。在本文中，我们研究了联合资源分配和内容缓存问题，旨在有效地协调无线访问和回程网络中的资源管理和缓存存储库。我们的设计目标是最大限度地减少与不同小区和不同移动虚拟网络运营商（MVNOS）相关的用户所经历的最大内容请求停电概率。底层优化问题是混合整数非线性程序（MINLP），这很难解决。我们提出了一种基于分配的基于水平的算法，可迭代地优化资源分配和内容缓存策略。通过广泛的数值结果证实了我们提出的框架的功效，其显示与其他基准算法相比的请求中断概率的显着降低。

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