Scalability and energy efficiency of Coordinated Scheduling in cellular networks towards 5G

G. Nardini, G. Stea, A. Virdis, A. Frangioni, L. Galli, D. Sabella, G. Dell'Aera
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引用次数: 4

Abstract

Coordinated Scheduling (CS) is one of the main techniques to control inter-cell interference in present (4G) and future (5G) cellular networks. We show that coordination of a cluster of nodes can be formulated as an optimization problem, i.e., placing the Resource Blocks in each node's subframe with the least possible overlapping with neighboring nodes. We provide a clever formulation, which allow optimal solutions to be computed in clusters of ten nodes, and algorithms that compute good suboptimal solutions for clusters of several tens of nodes, fast enough for a network to respond to traffic changes in real time. This allows us to assess the relationship between the scale at which CS is performed and its benefits in terms of network energy efficiency and cell-edge user rate. Our results show that optimal CS allows a significant protection of cell-edge users. Moreover, this goes hand-in-hand with a significant reduction in the number of allocated Resource Blocks, which in turn allows an operator to reduce its energy consumption. Both benefits actually increase with the size of the clusters.
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面向5G的蜂窝网络协同调度的可扩展性和能效
协调调度(CS)是当前(4G)和未来(5G)蜂窝网络中控制蜂窝间干扰的主要技术之一。我们证明了节点集群的协调可以被表述为一个优化问题,即将资源块放置在每个节点的子框架中,与相邻节点的重叠尽可能少。我们提供了一个聪明的公式,它允许在十个节点的集群中计算最优解,以及为几十个节点的集群计算良好的次优解的算法,速度足够快,可以使网络实时响应流量变化。这使我们能够评估CS的执行规模与其在网络能源效率和蜂窝边缘用户速率方面的好处之间的关系。我们的研究结果表明,最优CS可以显著保护蜂窝边缘用户。此外,这与显著减少分配的资源区块数量密切相关,从而使作业者能够减少能源消耗。这两个好处实际上都随着集群的规模而增加。
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