The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Synergy of Big Data and 5G Wireless Networks: Opportunities, Approaches, and Challenges
Abstract
This article presents the synergistic and complementary features of big data and 5G wireless networks. An overview of their interplay is provided first, including big-data-driven networking and big data assisted networking. The former exploits heterogeneous resources such as communication, caching, and computing in 5G wireless networks to support big data applications and services, by catering for big data's features such as volume, velocity, and variety. The latter leverages big data techniques to collect wireless big data and extract in-depth knowledge regarding the networks and users to improve network planning and operation. To further illustrate the mutual benefits, two case studies on network aided data acquisition and big data assisted edge content caching are provided. Finally, some interesting open research issues are discussed.
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Citations
Cites
Chen, M., Mao, S., & Liu, Y. (2014) · Mobile Networks and Applications · doi:10.1007/s11036-013-0489-0 · Cited by 2,913
Cache in the air: exploiting content caching and delivery techniques for 5G systems
Wang, X., Chen, M., Taleb, T., Ksentini, A., & Leung, V. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736753 · Cited by 1,063 · cited 2×
“To mitigate backhaul congestions and support low-latency services, caching techniques are employed to store popular contents in either network edge or core network [4].”
BackgroundMethodService Function Chaining in Next Generation Networks: State of the Art and Research Challenges
Medhat, A. M., Taleb, T., Elmangoush, A., Carella, G. A., Covaci, S., & Magedanz, T. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2016.1600219rp · Cited by 267
Cited by
UAV Communications for 5G and Beyond: Recent Advances and Future Trends
Li, B., Fei, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2887086 · Cited by 1,377
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence
Kato, N., Fadlullah, Z. M., Tang, F., Mao, B., Tani, S., Okamura, A., & Liu, J. (2019) · IEEE Wireless Communications · doi:10.1109/mwc.2018.1800365 · Cited by 404
Imaging and fusing time series for wearable sensor-based human activity recognition
Qin, Z., Zhang, Y., Meng, S., Qin, Z., & Choo, K.-K. R. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.06.014 · Cited by 309
Air-Ground Integrated Mobile Edge Networks: A Survey
Zhang, W., Li, L., Zhang, N., Han, T., & Wang, S. (2020) · IEEE Access · doi:10.1109/access.2020.3008168 · Cited by 75
Self-citation
Metadata
- Authors
- Zhang, N., Yang, P., Ren, J., Chen, D., Yu, L., & Shen, X.
- Venue
- IEEE Wireless Communications
- Published
- 2018-02
- Volume
- 25
- Issue
- 1
- Pages
- 12-18
- ISSN
- 1536-1284 (ISSN-L)
- OpenAlex
- W2789441909
- Cited by
- 229
- References
- 3
- FWCI
- 14.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhang, N., Yang, P., Ren, J., Chen, D., Yu, L., & Shen, X. (2018). Synergy of Big Data and 5G Wireless Networks: Opportunities, Approaches, and Challenges. IEEE Wireless Communications. https://doi.org/10.1109/mwc.2018.1700193
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