超密集小蜂窝网络中流量感知资源共享

Omer Anjum, Osman N. C. Yilmaz, C. Wijting, M. Uusitalo
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引用次数: 3

摘要

预计未来几年数据流量将增长数百倍,为了增加网络容量,无论是否进行详细的网络规划,未来的网络都可能经历小蜂窝的大规模密集化。这种致密化带来的最大挑战是非常高的干扰。因此,迫切需要制定策略,首先帮助避免对小细胞簇的这种大干扰。在本文中,我们提出了一种新的无线资源动态管理方案,用于一组高度重叠的小蜂窝的下行链路。该方案提出了联合考虑集群中小小区的实时干扰和业务特性的方法。观察到,与完全重用或分数频率重用相比,所提出的方法在平均用户吞吐量和总满意用户数量方面充分利用了网络性能,在相对较低的调度开销下实现了≥95%的数据速率需求。
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Traffic-aware resource sharing in ultra-dense small cell networks
With the expected increase in data traffic by multiple hundred-folds in the coming years, future networks are likely to experience large densification of small cells, with or without detailed network planning, in order to increase the network capacity. The biggest challenge this densification brings along is very high interference. Thus there is an urgent need to develop strategies that could help in the first place to avoid such large interference in small cell clusters. In this paper, we propose a novel scheme for dynamic radio resource management in the downlink for a cluster of heavily overlapped small cells. The scheme proposes the use of jointly considering real time interference and traffic characteristics of the small cells in the cluster. It is observed that the proposed method comparing to full reuse or fractional frequency reuse, leverages the network performance in terms of mean user throughput and total number of satisfied users, achieving ≥95% of the data-rate demand, at relatively a lower scheduling overhead.
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