Fair distributed user-traffic association in cache equipped cellular networks

J. Krolikowski, A. Giovanidis, M. Renzo
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引用次数: 6

Abstract

Caching of popular content on wireless nodes is recently proposed as a means to reduce congestion in the backbone of cellular networks and to improve Quality of Service. From a network point of view, the goal is to offload as many users as possible from the backbone network to the wireless caches while at the same time offering good service to cache-unrelated users. Aggressive offloading can lead to an unbalanced user association. Some wireless nodes can be overloaded by cache-related traffic while the resources of others remain underused. Given a fixed content placement, this work proposes an efficient distributed algorithm to control and balance the association of cache-related traffic among cellular cache memories. The algorithm allows the network to achieve the globally optimal solution and can be executed on base stations using a limited amount of information exchange between them. It is based on a novel algorithm we call Bucket-filling. The solution limits the cache-users per node by balancing the total load among the nodes in a fair way. The improvement compared to common user assignment policies is highlighted for single-as well as for multi-tier random networks.
配备高速缓存的蜂窝网络中的公平分布式用户流量关联
无线节点上流行内容的缓存最近被提出作为减少蜂窝网络主干拥塞和提高服务质量的一种手段。从网络的角度来看,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。过度卸载可能会导致不平衡的用户关联。一些无线节点可能会被缓存相关的流量过载,而其他节点的资源却没有得到充分利用。给定固定的内容位置,本工作提出了一种有效的分布式算法来控制和平衡蜂窝缓存存储器之间与缓存相关的流量关联。该算法允许网络实现全局最优解,并且可以在基站之间使用有限数量的信息交换来执行。它基于一种新颖的算法,我们称之为“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每个节点的缓存用户。与普通用户分配策略相比,这种改进在单层和多层随机网络中都得到了强调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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