The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead
Open accessAbstract
After about a decade of intense research, spurred by both economic and operational considerations, and by environmental concerns, energy efficiency has now become a key pillar in the design of communication networks. With the advent of the fifth generation of wireless networks, with millions more base stations and billions of connected devices, the need for energy-efficient system design and operation will be even more compelling. This survey provides an overview of energy-efficient wireless communications, reviews seminal and recent contribution to the state-of-the-art, including the papers published in this special issue, and discusses the most relevant research challenges to be addressed in the future.
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Self-citationMillimeter Wave Mobile Communications for 5G Cellular: It Will Work!
Rappaport, T. S., Sun, S., Mayzus, R., Zhao, H., Azar, Y., Wang, K., Wong, G. N., Schulz, J. K., Samimi, M., & Gutierrez, F. (2013) · IEEE Access · doi:10.1109/access.2013.2260813 · Cited by 7,351
Massive MIMO for next generation wireless systems
Larsson, E. G., Edfors, O., Tufvesson, F., & Marzetta, T. L. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736761 · Cited by 6,779
Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
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Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays
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Five disruptive technology directions for 5G
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Spatially Sparse Precoding in Millimeter Wave MIMO Systems
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Energy and spectral efficiency of very large multiuser MIMO systems
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Wireless Networks With RF Energy Harvesting: A Contemporary Survey
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Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?
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Deep Learning in Mobile and Wireless Networking: A Survey
Zhang, C., Patras, P., & Haddadi, H. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2904897 · Cited by 1,768
Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future
Nawaz, S. J., Sharma, S. K., Wyne, S., Patwary, M. N., & Asaduzzaman, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909490 · Cited by 658
On Optimizing VLC Networks for Downlink Multi-User Transmission: A Survey
Obeed, M., Salhab, A. M., Alouini, M.-S., & Zummo, S. A. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2906225 · Cited by 267
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
Edge-Oriented Computing Paradigms: A Survey on Architecture Design and System Management
Li, C., Xue, Y., Wang, J., Zhang, W., & Li, T. (2019) · ACM Computing Surveys · doi:10.1145/3154815 · Cited by 180
Metadata
- Authors
- Buzzi, S., I, C.-L., Klein, T. E., Poor, H. V., Yang, C., & Zappone, A.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2016-04
- Volume
- 34
- Issue
- 4
- Pages
- 697-709
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2327455150
- Cited by
- 721
- References
- 109
- FWCI
- 42.08
- Type
- journal article
- Language
- en
- Open access
- green
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- Buzzi, S., I, C.-L., Klein, T. E., Poor, H. V., Yang, C., & Zappone, A. (2016). A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2016.2550338
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