5G cellular: key enabling technologies and research challenges
Open accessAbstract
The evolving fifth generation (5G) cellular wireless networks are envisioned to provide higher data rates, enhance end-user quality-of-experience (QoE), reduce end-to-end latency, and lower energy consumption. This article presents several emerging technologies which could enable and define future 5G mobile communication standards and cellular networks. We highlight the key ideas for each technology and the major open research challenges related to measurement, testing and validating the performance of 5G system components. Then, we highlight the fundamental research challenges for resource management in 5G systems.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Encrypting transactional data and storing them on blocks has the potential to achieve privacy and security for MEC.
“Further, the transactional data are also encrypted and stored on blocks, which has the potential to achieve privacy and security for MEC [92].”
From Blockchain for 5G and beyond networks: A state of the art survey (2020) · cites this paper as [92]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Wireless Networks With RF Energy Harvesting: A Contemporary Survey
Lu, X., Wang, P., Niyato, D. T., Kim, D. I., & Han, Z. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2368999 · Cited by 2,594 · see citing works
Cloud RAN for Mobile Networks—A Technology Overview
Checko, A., Christiansen, H. L., Yan, Y. Z., Scolari, L., Kardaras, G., Berger, M., & Dittmann, L. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2355255 · Cited by 1,567 · see citing works
Achieving single channel, full duplex wireless communication
Choi, J. I., Jain, M., Srinivasan, K., Levis, P., & Katti, S. (2010) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/1859995.1859997 · Cited by 1,507 · see citing works
Network densification: the dominant theme for wireless evolution into 5G
Bhushan, N., Li, J., Malladi, D., Gilmore, R., Brenner, D. E., Damnjanovic, A., Sukhavasi, R., Patel, C., & Geirhofer, S. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736747 · Cited by 1,180 · see citing works
Applications of self-interference cancellation in 5G and beyond
Hong, S. S., Brand, J., Choi, J., et al. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736751 · Cited by 776 · see citing works
Wireless Network Virtualization: A Survey, Some Research Issues and Challenges
Liang, C., & Yu, F. R. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2352118 · Cited by 709 · see citing works
Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective
Hossain, E., Rasti, M., Tabassum, H., & Abdelnasser, A. (2014) · IEEE Wireless Communications · doi:10.1109/mwc.2014.6845056 · Cited by 621 · see citing works
Self-citation5G Network Capacity: Key Elements and Technologies
Li, Q. C., Niu, H., Papathanassiou, A. T., et al. (2014) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2013.2295070 · Cited by 611 · see citing works
5G on the Horizon: Key Challenges for the Radio-Access Network
Demestichas, P., Γεωργακόπουλος, Α., Karvounas, D., et al. (2013) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2013.2269187 · Cited by 427 · see citing works
Optimal Resource Allocation in Full-Duplex Wireless-Powered Communication Network
Ju, H., & Zhang, R. (2014) · IEEE Transactions on Communications · doi:10.1109/tcomm.2014.2359878 · Cited by 389 · see citing works
LTE and the Evolution to 4G Wireless
Rumney, M. (2013) · Wiley eBooks · doi:10.1002/9781118799475 · Cited by 274 · see citing works
Full-Duplex Wireless-Powered Communication Network With Energy Causality
Kang, X., Ho, C. K., & Sun, S. (2015) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2015.2439673 · Cited by 266 · see citing works
Enabling technologies and architectures for 5G wireless
Talwar, S., Choudhury, D., Dimou, K., et al. (2014) · IEEE MTT-S International Microwave Symposium digest · doi:10.1109/mwsym.2014.6848639 · Cited by 168 · see citing works
Energy-Aware Sensor Node Design With Its Application in Wireless Sensor Networks
Yan, R., Sun, H., & Qian, Y. (2013) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2013.2245181 · Cited by 142 · see citing works
Channel modelling for the fifth generation mobile communications
Medbo, J., Börner, K., Haneda, K., et al. (2014) · doi:10.1109/eucap.2014.6901730 · Cited by 106 · see citing works
Simple and Efficient Compressed Sensing Encoder for Wireless Body Area Network
Ravelomanantsoa, A., Rabah, H., & Rouane, A. (2014) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2014.2320393 · Cited by 58 · see citing works
Towards converged 5G mobile networks-challenges and current trends
Zakrzewska, A., Ruepp, S., & Berger, M. (2014) · ITU Kaleidoscope Academic Conference (ITU K) · doi:10.1109/kaleidoscope.2014.6858478 · Cited by 47 · see citing works
Yarkan, S. (2014) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2014.2355471 · Cited by 21 · see citing works
Full-Duplex Wireless-Powered Communication Network with Energy CausalityPreprint
Kang, X., Ho, C. K., & Sun, S. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1404.0471 · Cited by 18 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [8][8] S. Hong, J. Brand, J. Choi; M. Jain, J. Mehlman, S. Katti, and P. Levis, 'Applications of selfinterference cancellation in 5G and beyond,' IEEE Communications Magazine , vol. 52, no. 2, pp. 114121, Feb. 2014. -
Cited by
Sorted by citations
A survey of device-to-device communications: research issues and challenges
Jameel, F., Hamid, Z., Jabeen, F., Zeadally, S., & Javed, M. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2828120 · Cited by 536 · see citing works
Blockchain for 5G and beyond networks: A state of the art survey
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102693 · Cited by 412 · see citing works
SDN and Virtualization Solutions for the Internet of Things: A Survey
Bizanis, N., & Kuipers, F. A. (2016) · IEEE Access · doi:10.1109/access.2016.2607786 · Cited by 282 · see citing works
- Authors
- Hossain, E., & Hasan, M.
- Affiliations
- IEEE Communications Society (US)
- University of Manitoba (CA)
- Venue
- IEEE Instrumentation & Measurement Magazine
- Published
- 2015-06
- Volume
- 18
- Issue
- 3
- Pages
- 11-21
- ISSN
- 1094-6969 (ISSN-L)
- OpenAlex
- W1592174611
- Cited by
- 601
- References
- 19
- Citations by year
- 2026: 5 · 2025: 21 · 2024: 22 · 2023: 32 · 2022: 49 · 2021: 45 · 2020: 84 · 2019: 85 · 2018: 94 · 2017: 83 · 2016: 68 · 2015: 13
- FWCI
- 41.38
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE Instrumentation & Measurement Magazine (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, other-oa)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
- Physical Sciences › Engineering › Media Technology › Telecommunications and Broadcasting Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
- Keywords
- 5G, mobile communication standards, end-to-end delay, energy consumption, quality of experience, high-speed data transmission, resource management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review