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Cluster content caching:an energy-efficient approach to improve quality of service in cloud radio access networks

机译:集群内容缓存:一种提高云无线电接入网络服务质量的节能方法

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摘要

In cloud radio access networks (C-RANs), a substantial amount of data must be exchanged in both backhaul and fronthaul links, which causes high power consumption and poor quality of service (QoS) experience for real-time services. To solve this problem, a cluster content caching structure is proposed in this paper, which takes full advantages of distributed caching and centralized signal processing. In particular, redundant traffic on the backhaul can be reduced because the cluster content cache provides a part of required content objects for remote radio heads (RRHs) connected to a common edge cloud. Tractable expressions for both effective capacity and energy efficiency performance are derived, which show that the proposed structure can improve QoS guarantees with a lower cost of local storage. Furthermore, to fully explore the potential of the proposed cluster content caching structure, the joint design of resource allocation and RRH association is optimized, and two distributed algorithms are accordingly proposed. Simulation results verify the accuracy of the analytical results and show the performance gains achieved by cluster content caching in C-RANs.
机译:在云无线电接入网络(C-RAN)中,必须在回程和前程链路中交换大量数据,这会导致高功耗和实时服务的服务质量(QoS)体验差。为了解决这个问题,本文提出了一种集群内容缓存结构,该结构充分利用了分布式缓存和集中式信号处理的优势。特别是,由于群集内容缓存为连接到公共边缘云的远程无线电头(RRH)提供了一部分所需的内容对象,因此可以减少回程上的冗余流量。推导了有效容量和能效性能的可表达表达式,表明所提出的结构能够以较低的本地存储成本提高QoS保证。此外,为了充分挖掘所提出的集群内容缓存结构的潜力,对资源分配和RRH关联的联合设计进行了优化,并据此提出了两种分布式算法。仿真结果验证了分析结果的准确性,并显示了通过C-RAN中的群集内容缓存获得的性能提升。

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