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Fair distributed user-traffic association in cache equipped cellular networks

机译:在缓存配备蜂窝网络中公平分布的用户流量关联   网络

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摘要

Caching of popular content on wireless nodes is recently proposed as a meansto reduce congestion in the backbone of cellular networks and to improveQuality of Service. From a network point of view, the goal is to offload asmany users as possible from the backbone network to the wireless caches whileat the same time offering good service to cache-unrelated users. Aggressiveoffloading can lead to an unbalanced user association. Some wireless nodes canbe overloaded by cache-related traffic while the resources of others remainunderused. Given a fixed content placement, this work proposes an efficientdistributed algorithm to control and balance the association of cache-relatedtraffic among cellular cache memories. The algorithm allows the network toachieve the globally optimal solution and can be executed on base stationsusing a limited amount of information exchange between them. It is based on anovel algorithm we call Bucket-filling. The solution limits the cache-users pernode by balancing the total load among the nodes in a fair way. The improvementcompared to common user assignment policies is highlighted for single- as wellas for multi-tier random networks.
机译:最近提出了在无线节点上缓存流行内容的方法,以减少蜂窝网络骨干网的拥塞并提高服务质量。从网络角度来看,目标是将尽可能多的用户从骨干网络转移到无线缓存,同时为与缓存无关的用户提供良好的服务。激进的卸载可能导致不平衡的用户关联。一些无线节点可能会因与缓存相关的流量而过载,而其他无线节点的资源仍未得到充分利用。给定固定的内容放置,这项工作提出了一种有效的分布式算法,以控制和平衡蜂窝式缓存中缓存相关流量的关联。该算法允许网络获得全局最优解,并且可以在基站之间使用有限的信息交换量来执行该算法。它基于anovel算法,我们称为“桶填充”。该解决方案通过公平地平衡节点之间的总负载来限制缓存用户的每个节点。与普通用户分配策略相比,针对单层以及多层随机网络的改进得到了强调。

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