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Backhaul Traffic Balancing and Dynamic Content-Centric Clustering for the Downlink of Fog Radio Access Network

机译:回程流量平衡和动态内容中心聚类   雾无线接入网的下行链路

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摘要

Recently, an evolution of the Cloud Radio Access Network (C-RAN) has beenproposed, named as Fog Radio Access Network (F-RAN). Compared to C-RAN, theRadio Units (RUs) in F-CAN are equipped with local caches, which can store somefrequently requested files. In the downlink, users requesting the same fileform a multicast group, and are cooperatively served by a cluster of RUs. Therequested file is either available locally in the cache of this cluster orfetched from the Central Processor (CP) via backhauls. Thus caching somefrequently requested files can greatly reduce the burden on backhaul links.Whether a specific RU should be involved in a cluster to serve a multicastgroup depends on its backhaul capacity, requested files, cached files and thechannel. Therefore it is subject to optimization. In this paper we investigatethe joint design of multicast beamforming, dynamic clustering and backhaultraffic balancing. Beamforming and clustering are jointly optimized in order tominimize the power consumed, while QoS of each user is to be met and thetraffic on each backhaul link is balanced according to its capacity.
机译:最近,已经提出了云无线电接入网络(C-RAN)的发展,其被称为雾无线电接入网络(F-RAN)。与C-RAN相比,F-CAN中的无线电单元(RU)配备了本地缓存,可以存储一些经常请求的文件。在下行链路中,请求相同文件的用户形成一个多播组,并由RU集群协同服务。所请求的文件可以在该群集的缓存中本地使用,也可以通过回程从中央处理器(CP)获取。因此,缓存一些经常请求的文件可以大大减轻回程链路的负担。群集中是否应包含特定的RU以服务于多播组取决于其回程容量,请求的文件,缓存的文件和通道。因此,需要对其进行优化。在本文中,我们研究了多播波束成形,动态聚类和反冲交通平衡的联合设计。联合优化波束成形和群集以最小化功耗,同时要满足每个用户的QoS,并根据其容量平衡每个回程链路上的流量。

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