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Optimal Video Delivery in Mobile Networks Using a Cache-Accelerated Multi Area eMBMS Architecture

机译:使用缓存加速的多区域eMBMS架构在移动网络中优化视频传输

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Long-Term Evolution (LTE) evolved into enhanced Multimedia Broadcast/Multicast Service (eMBMS) that features improved perfomance, higher and more flexible LTE bit rates, Single Frequency Network (SFN) operations and carrier configuration flexibility. Multiple eMBMS service areas allow for efficient spectrum utilization in the context of mobile Content-Delivery-Networks (CDNs) as well as for delivering broadcast and push media over modern broadband networks. This paper intends to highlight novel service architectures for efficient content delivery. Content caching is a widely used technique in the networking industry that brings content closer to end-users improving, thus, servive performance and latency. Next generation wireless networks use edge located cache as well as core located cache in order to reduce traffic between the gateway and the internet and make the response of mobile network faster. This is referred to as hierarchical/distributed caching. Dimensioning of individual scenario-based traffic models for health care, museum virtual tours and interactive educational use cases in the context of the LiveCity European Research Project is attempted in this work. ON/OFF source models featuring state dependent active and inactive periods are used in order to describe multi-threaded resource transmissions. A group of chain ON/OFF models holds the parameters of the basic services and defines cache requirements. An architecture that associates distributed cache deployed at eMBMS Gateways per service area is proposed in order to reduce backhaul traffic. A simple algorithm that determines the optimal cache size in a mixture of chain ON/OFF modeled services is presented.
机译:长期演进(LTE)演变成增强的多媒体广播/多播服务(eMBMS),其特点是性能提高,LTE比特率更高且更灵活,单频网络(SFN)操作和载波配置灵活性。多个eMBMS服务区域允许在移动内容交付网络(CDN)的情况下有效利用频谱,以及通过现代宽带网络交付广播和推送媒体。本文旨在重点介绍新颖的服务体系结构,以实现高效的内容交付。内容缓存是网络行业中一种广泛使用的技术,它使内容更接近最终用户,从而改善了服务性能和延迟。下一代无线网络使用位于边缘的缓存以及位于核心的缓存,以减少网关和互联网之间的流量,并使移动网络的响应速度更快。这称为分层/分布式缓存。在这项工作中,尝试在LiveCity欧洲研究项目的范围内确定基于情景的医疗,博物馆虚拟游览和交互式教育用例的流量模型。为了描述多线程资源传输,使用了具有状态依赖的活动和非活动时段的ON / OFF源模型。一组链ON / OFF模型包含基本服务的参数并定义高速缓存要求。为了减少回程流量,提出了一种将每个服务区域部署在eMBMS网关处的分布式缓存关联的架构。提出了一种简单的算法,该算法确定链式ON / OFF建模服务混合中的最佳缓存大小。

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