Cellular Infrastructure Sharing for Network Robustness: A Citywide Empirical Study

Individual cellular networks have been very robust to random cell tower failures due to redundant cell tower deployments. However, a large-scale clustered failure with multiple cell towers can lead to the loss of services of a cellular network. Recently, off-the-shelf smartphones can support multiple network standards, so cellular network infrastructure sharing is a promising direction to improve the service robustness under potential large-scale clustered tower failures. The existing work on cellular network robustness is usually limited to large-scale studies of individual networks or small-scale studies of multiple networks. In this work, we conduct the first investigation, to our knowledge, on cross-network infrastructure sharing benefits for enhancing robustness with a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">full cellular penetration rate</i>. Our work is based on all cellular networks in Shenzhen, China, covering over 10 million cellular users. Specifically, we design a new metric to quantify cellular network robustness with or without cross-network sharing under both random and clustered cell tower failures. We further study the impact of different factors on robustness, including the number of networks, spatiotemporal dynamics, contextual factors, and a case study at two key transportation hubs. We provide a set of lessons learned based on our study, along with discussions of the results.

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Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2025-06-18
DOI
https://doi.org/10.1109/tmc.2025.3580605
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
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article

Cellular Infrastructure Sharing for Network Robustness: A Citywide Empirical Study

Shuxin Zhong, Weijian Zuo, Zhihan Fang, Yu Yang et al.
1 citations
IEEE Transactions on Mobile Computing
Advanced MIMO Systems Optimization
0.73
article

Cellular Infrastructure Sharing for Network Robustness: A Citywide Empirical Study

Shuxin Zhong, Weijian Zuo, Zhihan Fang, Yu Yang, Yuelei Xie, Zhiqing Hong, Wenjun Lyu, Yunhuai Liu, Guang Wang, Desheng Zhang, Guang Yang
article en
1 citations

Abstract

Individual cellular networks have been very robust to random cell tower failures due to redundant cell tower deployments. However, a large-scale clustered failure with multiple cell towers can lead to the loss of services of a cellular network. Recently, off-the-shelf smartphones can support multiple network standards, so cellular network infrastructure sharing is a promising direction to improve the service robustness under potential large-scale clustered tower failures. The existing work on cellular network robustness is usually limited to large-scale studies of individual networks or small-scale studies of multiple networks. In this work, we conduct the first investigation, to our knowledge, on cross-network infrastructure sharing benefits for enhancing robustness with a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">full cellular penetration rate</i>. Our work is based on all cellular networks in Shenzhen, China, covering over 10 million cellular users. Specifically, we design a new metric to quantify cellular network robustness with or without cross-network sharing under both random and clustered cell tower failures. We further study the impact of different factors on robustness, including the number of networks, spatiotemporal dynamics, contextual factors, and a case study at two key transportation hubs. We provide a set of lessons learned based on our study, along with discussions of the results.

IEEE Transactions on Mobile ComputingVol. 24(11)
Rutgers, The State University of New Jersey (US), Florida State University (US), Lehigh University (US), Peking University (CN), Jingdong (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 27%
Advanced MIMO Systems Optimization
0.73
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