Mobility Support in Cellular Networks: A Measurement Study on Its Configurations and Implications
Mobility Support in Cellular Networks: A Measurement Study on Its Configurations and Implications
复制标题
DOI：
10.1145/3278532.3278546
复制
发表时间：
2018-10
期刊：
影响因子：
--
通讯作者：
Haotian Deng;Chunyi Peng;Ans Fida;Jiayi Meng;Y. C. Hu
中科院分区：
文献类型：
--
作者：
Haotian Deng;Chunyi Peng;Ans Fida;Jiayi Meng;Y. C. Hu
在本文中，我们进行了首次全球规模的测量研究，以揭示30家移动运营商如何在其运营商网络中管理移动性支持。利用一种新颖的、以设备为中心的工具MMLab，我们能够在没有运营商协助的情况下获取运行时配置。通过来自32000多个小区的切换配置以及超过18700个切换实例，我们揭示了基于策略的切换在实际中是如何工作的。我们进一步研究了配置参数如何影响切换性能和用户数据访问。我们的研究在切换配置方面呈现出三个要点。1）运营商部署极其复杂多样的配置来控制切换的执行方式。2）切换配置值的设置以合理的方式影响数据性能。3）虽然在切换过程中提供了更好的控制粒度，但这种多样的配置也对性能和效率产生了意想不到的负面复合影响。此外，我们通过设备端方法对移动性支持的研究为网络运营商、移动用户和研究社区提供了有价值的见解。
In this paper, we conduct the first global-scale measurement study to unveil how 30 mobile operators manage mobility support in their carrier networks. Using a novel, device-centric tool, MMLab, we are able to crawl runtime configurations without the assistance from operators. Using handoff configurations from 32,000+ cells and > 18,700 handoff instances, we uncover how policy-based handoffs work in practice. We further study how the configuration parameters affect the handoff performance and user data access. Our study exhibits three main points regarding handoff configurations. 1) Operators deploy extremely complex and diverse configurations to control how handoff is performed. 2) The setting of handoff configuration values affect data performance in a rational way. 3) While giving better control granularity over handoff procedures, such diverse configurations also lead to unexpected negative compound effects to performance and efficiency. Moreover, our study of mobility support through a device-side approach gives valuable insights to network operators, mobile users and the research community.