The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Ultra-Dense Networks: A Survey
Abstract
The exponential growth and availability of data in all forms is the main booster to the continuing evolution in the communications industry. The popularization of traffic-intensive applications including high definition video, 3-D visualization, augmented reality, wearable devices, and cloud computing defines a new era of mobile communications. The immense amount of traffic generated by today's customers requires a paradigm shift in all aspects of mobile networks. Ultradense network (UDN) is one of the leading ideas in this racetrack. In UDNs, the access nodes and/or the number of communication links per unit area are densified. In this paper, we provide a survey-style introduction to dense small cell networks. Moreover, we summarize and compare some of the recent achievements and research findings. We discuss the modeling techniques and the performance metrics widely used to model problems in UDN. Also, we present the enabling technologies for network densification in order to understand the state-of-the-art. We consider many research directions in this survey, namely, user association, interference management, energy efficiency, spectrum sharing, resource management, scheduling, backhauling, propagation modeling, and the economics of UDN deployment. Finally, we discuss the challenges and open problems to the researchers in the field or newcomers who aim to conduct research in this interesting and active area of research.
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Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey
Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2006) · Computer Networks · doi:10.1016/j.comnet.2006.05.001 · Cited by 6,356
Energy and spectral efficiency of very large multiuser MIMO systems
Ngo, H. Q., Larsson, E. G., & Marzetta, T. L. (2013) · IEEE Transactions on Communications · doi:10.1109/tcomm.2013.020413.110848 · Cited by 3,173
Maddah-Ali, M. A., & Niesen, U. (2014) · IEEE Transactions on Information Theory · doi:10.1109/tit.2014.2306938 · Cited by 1,726
Spectral and energy efficiency of ultra-dense networks under different deployment strategies
Yunas, S., Valkama, M., & Niemelä, J. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7010521 · Cited by 209
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Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
Gong, S., Lu, X., Hoang, D. T., Niyato, D., Shu, L., Kim, D. I., & Liang, Y.-C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3004197 · Cited by 1,035
Sharma, S. K., Bogale, T. E., Le, L. B., Chatzinotas, S., Wang, X., & Ottersten, B. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2773628 · Cited by 248
Mahmood, M. R., Matin, M. A., Sarigiannidis, P., & Goudos, S. K. (2022) · IEEE Access · doi:10.1109/access.2022.3199689 · Cited by 209
Agarwal, B., Togou, M. A., Ruffini, M., & Muntean, G.-M. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3207967 · Cited by 123
Spatial Spectrum Sharing for Satellite and Terrestrial Communication Networks
Zhang, C., Jiang, C., Kuang, L., Jin, J., He, Y., & Han, Z. (2019) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2018.2889585 · Cited by 88
Metadata
- Authors
- Kamel, M., Hamouda, W., & Youssef, A.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2016
- Volume
- 18
- Issue
- 4
- Pages
- 2522-2545
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2398409936
- Cited by
- 919
- References
- 6
- FWCI
- 55.34
- Type
- journal article
- Language
- en
- Open access
- closed
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