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arXiv 1611.07366cs.NI
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5G及以后的切换管理:一种拓扑感知跳过方法

Handover Management in 5G and Beyond: A Topology Aware Skipping Approach

Rabe Arshad, Hesham ElSawy, Sameh Sorour, Tareq Y. Al-Naffouri, Mohamed Slim Alouini

摘要:

网络密集化被认为是满足5G容量标准的潜在解决方案。网络致密化通过缩小基站(BS)的覆盖区来提供更多容量,从而减少由每个BS服务的用户的数量。然而,容量的增益是以增加的切换(HO)速率为代价实现的。因此,HO率是一个关键的性能限制因素,应该仔细考虑在致密化规划。本文揭示了密集5G网络中出现的HO问题,并通过拓扑感知HO跳过提出了一种有效的解决方案。不同的跳跃技术被认为是与传统的最佳连接的计划和比较。为此,通过研究分别采用泊松点过程和泊松簇过程建模的单层和双层蜂窝网络下行链路的平均用户速率,验证了所提方案的有效性.所提出的跳过方案显示出高达47%的平均吞吐量增益,这将最大限度地提高网络密度的好处。

英文摘要:

Network densification is found to be a potential solution to meet 5G capacity standards. Network densification offers more capacity by shrinking base stations' (BSs) footprints, thus reduces the number of users served by each BS. However, the gains in the capacity are achieved at the expense of increased handover (HO) rates. Hence, HO rate is a key performance limiting factor that should be carefully considered in densification planning. This paper sheds light on the HO problem that appears in dense 5G networks and proposes an effective solution via topology aware HO skipping. Different skipping techniques are considered and compared with the conventional best connected scheme. To this end, the effectiveness of the proposed schemes is validated by studying the average user rate in the downlink single-tier and two-tier cellular networks, which are modeled using Poisson point process and Poisson cluster process, respectively. The proposed skipping schemes show up to 47% gains in the average throughput that would maximize the benefit of network densification.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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