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.
Authors
- Shuxin Zhong (ORCID: https://orcid.org/0009-0006-1758-2870)
- Weijian Zuo
- Zhihan Fang
- Yu Yang (ORCID: https://orcid.org/0000-0003-1627-5503)
- Yuelei Xie (ORCID: https://orcid.org/0000-0002-6973-7663)
- Zhiqing Hong (ORCID: https://orcid.org/0000-0003-3682-4290)
- Wenjun Lyu (ORCID: https://orcid.org/0000-0002-7885-3105)
- Yunhuai Liu (ORCID: https://orcid.org/0000-0002-1180-8078)
- Guang Wang (ORCID: https://orcid.org/0000-0002-7739-7945)
- Desheng Zhang (ORCID: https://orcid.org/0000-0001-9307-8736)
- Guang Yang (ORCID: https://orcid.org/0009-0001-2364-0188)
Institutions
- Rutgers, The State University of New Jersey (US)
- Florida State University (US)
- Lehigh University (US)
- Peking University (CN)
- Jingdong (China) (CN)
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