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NR: The New 5G Radio Access Technology
Abstract
This article provides an overview of the technology components and capabilities of the New Radio (NR) radio interface standard currently under development by 3GPP. NR will enable new use cases, requiring further enhanced data rates, latency, coverage, capacity, and reliability. This needs to be accomplished with improved network energy performance and the ability to exploit spectrum in very high frequency bands. Key technology components to reach these targets include flexible numerology, latency-optimized frame structure, massive MIMO, interworking between high and low frequency bands, and ultra-lean transmissions. Preliminary evaluations indicate that, with these technology components, NR can reach the 5G targets.
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Citations
Cited by
Dang, S., Amin, O., Shihada, B., & Alouini, M.-S. (2020) · Nature Electronics · doi:10.1038/s41928-019-0355-6 · Cited by 1,790
Prospective Multiple Antenna Technologies for Beyond 5G
Zhang, J., Bjornson, E., Matthaiou, M., Ng, D. W. K., Yang, H., & Love, D. J. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000826 · Cited by 877
Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces
Bjornson, E., & Sanguinetti, L. (2020) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2020.3020925 · Cited by 423
A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks
Maraqa, O., Rajasekaran, A. S., Al-Ahmadi, S., Yanikomeroglu, H., & Sait, S. M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3013514 · Cited by 406
A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges
Ahangar, M. N., Ahmed, Q. Z., Khan, F. A., & Hafeez, M. (2021) · Sensors · doi:10.3390/s21030706 · Cited by 373
Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels
Alrabeiah, M., & Alkhateeb, A. (2020) · IEEE Transactions on Communications · doi:10.1109/tcomm.2020.3003670 · Cited by 346
Emerging Technologies for 5G-IoV Networks: Applications, Trends and Opportunities
Duan, W., Gu, J., Wen, M., Zhang, G., Ji, Y., & Mumtaz, S. (2020) · IEEE Network · doi:10.1109/mnet.001.1900659 · Cited by 299
Metadata
- Authors
- Parkvall, S., Dahlman, E., Furuskar, A., & Frenne, M.
- Venue
- IEEE Communications Standards Magazine
- Published
- 2017-12
- Volume
- 1
- Issue
- 4
- Pages
- 24-30
- ISSN
- 2471-2825 (ISSN-L)
- 2471-2833
- OpenAlex
- W2784277076
- Cited by
- 634
- References
- 0
- FWCI
- 55.52
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
