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A Survey of 5G Network: Architecture and Emerging Technologies
Open accessAbstract
In the near future, i.e., beyond 4G, some of the prime objectives or demands that need to be addressed are increased capacity, improved data rate, decreased latency, and better quality of service. To meet these demands, drastic improvements need to be made in cellular network architecture. This paper presents the results of a detailed survey on the fifth generation (5G) cellular network architecture and some of the key emerging technologies that are helpful in improving the architecture and meeting the demands of users. In this detailed survey, the prime focus is on the 5G cellular network architecture, massive multiple input multiple output technology, and device-to-device communication (D2D). Along with this, some of the emerging technologies that are addressed in this paper include interference management, spectrum sharing with cognitive radio, ultra-dense networks, multi-radio access technology association, full duplex radios, millimeter wave solutions for 5G cellular networks, and cloud technologies for 5G radio access networks and software defined networks. In this paper, a general probable 5G cellular network architecture is proposed, which shows that D2D, small cell access points, network cloud, and the Internet of Things can be a part of 5G cellular network architecture. A detailed survey is included regarding current research projects being conducted in different countries by research groups and institutions that are working on 5G technologies.
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Citations
Cites
Wireless Communications: Principles and Practice
Rappaport, T. S. (1996) · Cited by 17,370
The NIST definition of cloud computing
Mell, P., & Grance, T. (2011) · doi:10.6028/nist.sp.800-145 · Cited by 12,637
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2328098 · Cited by 8,106
Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!
Rappaport, T. S., Sun, S. D., Mayzus, R., Zhao, H., Azar, Y., Wang, K., Wong, G. N., Schulz, J. K., Samimi, M. K., & Gutierrez, F. (2013) · IEEE Access · doi:10.1109/access.2013.2260813 · Cited by 7,368
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 6,797
Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
Marzetta, T. L. (2010) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2010.092810.091092 · Cited by 6,571
Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays
Rusek, F., Persson, D., Lau, B. K., Larsson, E. G., Marzetta, T. L., & Tufvesson, F. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2011.2178495 · Cited by 4,733
Scaling up MIMO: Opportunities and challenges with very large arrays
Rusek, F., Persson, D., Lau, B. K., Larsson, E. G., Marzetta, T. L., Edfors, O., Tufvesson, F., Print, P., Rusek, F., Persson, D., et al. (2013) · Cited by 4,089
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660
Chandrasekhar, V., Andrews, J. G., & Gatherer, A. (2008) · IEEE Communications Magazine · doi:10.1109/mcom.2008.4623708 · Cited by 3,064
Research works printed but not linked: 14
- 2013, 5G Radio Access—Research and Vision
- fallgren, 2013, Scenarios Requirements and KPIs for 5G Mobile and Wireless System
- 0, Industry Proposal for a Public Private Partnership (PPP) in Horizon 2020 (Draft Version 2 1) Horizon 2020 Advanced 5G Network Infrastructure for the Future Internet PPP
- furht, 2009, Long Term Evolution 3GPP LTE Radio and Cellular Technology, 441
- steenkiste, 2007, Future directions in cognitive radio network research, Rep NSF Workshop
- goldhammer, 2005, 802 16h Main Concepts
- 2012, FCC12-36 Third Memorandum Opinion and Order in the Matter of Unlicensed Operation in the TV Broadcast Bands (ET Docket No 04-186) and Additional Spectrum for Unlicensed Devices Below 900 MHz and in the 3 GHz Band (ET Docket No 02-380)
- ihalainen, 2013, Flexible scalable solutions for dense small cell networks, Proc WWRF14, 30
- 2014, A One-Time Overview of Global 5G Initiatives as of the First Quarter of 2014
- hatton, 2013, The Global M2M Market in 2013
- 2015, 5th Generation Non-Orthogonal Waveforms for Asynchronous Signaling) is a European collaborative Research Project Supported by the European Commission Within FP7 ICT Call 8
- park, 2014, 5G Vision and Requirements
- tikhvinskiy, 2015, Perspectives and quality of service requirements in 5G networks, J Telecommun Inf Technol, 23
- 2006, Estimated spectrum bandwidth requirements for the future development of IMT-2000 and IMT-Advanced
Cited by
Sorted by citations
Items 201–300 of 1,002
Bai, K. K., Zou, D., Zhang, Z., Li, Z., Wang, W., Sui, Q., Cao, Z., & Li, F. (2020) · Journal of Lightwave Technology · doi:10.1109/jlt.2020.3027911 · Cited by 65
Interference Challenges and Management in B5G Network Design: A Comprehensive Review
Alzubaidi, O. T. H., Hindia, M. N., Dimyati, K., Noordin, K. A., Wahab, A. N. A., Qamar, F., & Hassan, R. B. (2022) · Electronics · doi:10.3390/electronics11182842 · Cited by 65
Adeleke, O. J., Jovanovich, K. D., Ogunbunmi, S., Samuel, O. W., & Kehinde, T. O. (2025) · IEEE Sensors Reviews · doi:10.1109/sr.2025.3569239 · Cited by 65
A Novel Cognitive Satellite Network With GEO and LEO Broadband Systems in the Downlink Case
Wang, C., Bian, D., Shi, S., Xu, J., & Zhang, G. (2018) · IEEE Access · doi:10.1109/access.2018.2831218 · Cited by 65
Zheng, S., Chen, S., Yang, L., Zhu, J., Luo, Z., Hu, J., & Yang, X. (2018) · IEEE Access · doi:10.1109/access.2018.2872769 · Cited by 66
A Comprehensive Survey on Moving Networks
Jaffry, S., Hussain, R., Gui, X., & Hasan, S. F. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3029005 · Cited by 64
Anomaly detection for Smart City applications over 5G low power wide area networks
Santos, J., Leroux, P., Wauters, T., Volckaert, B., & Turck, F. D. (2018) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2018.8406257 · Cited by 65
Digital technologies for the Sustainable Development Goals
Hariyani, D., Hariyani, P., & Mishra, S. (2025) · Green Technologies and Sustainability · doi:10.1016/j.grets.2025.100202 · Cited by 86
Spatio-Temporal Waveform Design for Multiuser Massive MIMO Downlink With 1-bit Receivers
Gokceoglu, A., Björnson, E., Larsson, E. G., & Valkama, M. (2016) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2016.2628347 · Cited by 62
Li, H., Zhang, Y., Li, G., & Liu, F. (2020) · IEEE Access · doi:10.1109/access.2020.2984682 · Cited by 67
Jiang, C., Li, H., Qiao, W., Yang, G., Liu, Q., Wang, G., & Liu, F. (2021) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.2021.3124211 · Cited by 62
5G System Overview for Ongoing Smart Applications: Structure, Requirements, and Specifications
Attar, H. H., Issa, H., Ababneh, J., Abbasi, M., Solyman, A., Khosravi, M. R., & Agieb, R. S. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/2476841 · Cited by 62
How to make key 5G wireless technologies environmental friendly: A review
Alsharif, M. H., Nordin, R., Abdullah, N. F., & Kelechi, A. H. (2017) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3254 · Cited by 62
A Realization of Fog-RAN Slicing via Deep Reinforcement Learning
Xiang, H., Yan, S., & Peng, M. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.2965927 · Cited by 62
Kazi, B. U., & Wainer, G. (2018) · Wireless Networks · doi:10.1007/s11276-018-1796-y · Cited by 61
4G to 6G: disruptions and drivers for optical access [Invited]
Ranaweera, C., Kua, J., Dias, I., Wong, E., Lim, C., & Nirmalathas, A. T. (2021) · Journal of Optical Communications and Networking · doi:10.1364/jocn.440798 · Cited by 62
Fakhouri, H. N., Alawadi, S., Awaysheh, F. M., Hani, I. B., Alkhalaileh, M. S., & Hamad, F. F. (2023) · Electronics · doi:10.3390/electronics12224604 · Cited by 64
Rao, C. K., Sahoo, S. K., & Yanine, F. F. (2023) · Hybrid Advances · doi:10.1016/j.hybadv.2023.100136 · Cited by 78
DaVe: Offloading Delay-Tolerant Data Traffic to Connected Vehicle Networks
Si, P., He, Y. Q., Yao, H., Yang, R., & Zhang, Y. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2550105 · Cited by 61
Learning-Based Spectrum Sharing and Spatial Reuse in mm-Wave Ultradense Networks
Fan, C., Li, B., Zhao, C., Guo, W., & Liang, Y. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2750801 · Cited by 61
Du, Z., Wang, C., Sun, Y., & Wu, G. (2018) · IEEE Access · doi:10.1109/access.2018.2844882 · Cited by 61
A survey on energy efficient 5G green network with a planned multi-tier architecture
Sofi, I. B., & Gupta, A. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.06.002 · Cited by 60
Self-citationEfficient and reliable hybrid deep learning-enabled model for congestion control in 5G/6G networks
Khan, S., Hussain, A., Nazir, S., Khan, F., Oad, A., & Alshehri, M. D. (2021) · Computer Communications · doi:10.1016/j.comcom.2021.11.001 · Cited by 60
A comprehensive survey on spectrum sharing: Architecture, energy efficiency and security issues
Kour, H., Jha, R. K., & Jain, S. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.11.010 · Cited by 60
Self-citationSuperfluidity: a flexible functional architecture for 5G networks
Bianchi, G., Biton, E., Bléfari-Melazzi, N., Borges, I., Chiaraviglio, L., Ramos, P. D. L. C., Eardley, P. L., Fontes, F., McGrath, M. J., Natarianni, L., et al. (2016) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3082 · Cited by 59
Service-Oriented MEC Applications Placement in a Federated Edge Cloud Architecture
Brik, B., Frangoudis, P. A., & Ksentini, A. (2020) · International Conference on Communications · doi:10.1109/icc40277.2020.9148814 · Cited by 59
Chopra, G., Jha, R. K., & Jain, S. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.07.007 · Cited by 59
Self-citationTowards the fulfillment of 5G network requirements: technologies and challenges
Alnoman, A. A., & Anpalagan, A. (2016) · Telecommunication Systems · doi:10.1007/s11235-016-0216-9 · Cited by 58
Real-Time 100-GS/s Sigma-Delta Modulator for All-Digital Radio-Over-Fiber Transmission
Li, H., Bauwelinck, J., Demeester, P. M. A., Torfs, G., Verplaetse, M., Verbist, J., Kerrebrouck, J. V., Breyne, L., Wu, C.-Y., Bogaert, L., et al. (2019) · Journal of Lightwave Technology · doi:10.1109/jlt.2019.2931549 · Cited by 58
Software Defined Network-Based Management for Enhanced 5G Network Services
Tadros, C. N., Rizk, M. R. M., & Mokhtar, B. M. (2020) · IEEE Access · doi:10.1109/access.2020.2980392 · Cited by 58
Artificial intelligence-driven autonomous optical networks: 3S architecture and key technologies
Ji, Y., Gu, R., Yang, Z., Li, J., Li, H., & Zhang, M. (2020) · Science China Information Sciences · doi:10.1007/s11432-020-2871-2 · Cited by 58
Comparative Analysis of Channel Models for Industrial IoT Wireless Communication
Wang, W., Capitaneanu, S. L., Marinca, D., & Lohan, E. S. (2019) · IEEE Access · doi:10.1109/access.2019.2927217 · Cited by 57
Evolution of wireless communication networks: from 1G to 6G and future perspective
Solyman, A., & Yahya, K. A. (2022) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v12i4.pp3943-3950 · Cited by 57
Imran, M. A., Zennaro, M., Popoola, O., Chiaraviglio, L., Zhang, H., Manzoni, P., van de Beek, J., Stewart, R., Cox, M. A., Mendes, L. L., et al. (2024) · Proceedings of the IEEE · doi:10.1109/jproc.2024.3402265 · Cited by 57
Tu, D. T. T., Thang, N. G., Ngoc, N. T., Phuong, N. T. B., & Vu, V. Y. (2017) · International Conference on Advanced Technologies for Communications · doi:10.1109/atc.2017.8167644 · Cited by 57
An efficient energy-aware routing scheme for cloud-assisted MANETs in 5G
Riasudheen, H., Selvamani, K., Mukherjee, S., & Divyasree, I. R. (2019) · Ad Hoc Networks · doi:10.1016/j.adhoc.2019.102021 · Cited by 56
Data dissemination for Internet of vehicle based on 5G communications: A survey
Benalia, E., Bitam, S., & Mellouk, A. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3881 · Cited by 58
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Molla, D. M., Badis, H., George, L., & Berbineau, M. (2022) · IEEE Access · doi:10.1109/access.2022.3154364 · Cited by 56
Key Technologies in the Context of Future Networks: Operational and Management Requirements
López, L. I. B., Caraguay, Á. L. V., Monge, M. A. S., & Villalba, L. J. G. (2016) · Future Internet · doi:10.3390/fi9010001 · Cited by 56
Hoo, S. C., & Ibrahim, H. (2019) · Journal of Sensors · doi:10.1155/2019/7410478 · Cited by 56
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Rajoria, S., Trivedi, A., & Godfrey, W. W. (2017) · Physical Communication · doi:10.1016/j.phycom.2017.11.004 · Cited by 55
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Zhu, C., Cheng, X., Ye, H., Yang, J., Xu, L., & Chao, K. (2019) · IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) · doi:10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00272 · Cited by 54
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Gao, Y., Xiao, Y., Wu, M., Xiao, M., & Shao, J. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2019.2894138 · Cited by 54
Abubakar, A. I., Omeke, K. G., Öztürk, M., Hussain, S., & Imran, M. A. (2020) · Frontiers in Communications and Networks · doi:10.3389/frcmn.2020.575065 · Cited by 55
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Gupta, A., Jha, R. K., Gandotra, P., & Jain, S. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2745110 · Cited by 53
Self-citationKuai, L., Chen, J., Jiang, Z. H., Yu, C., Guo, C., Yu, Y., Zhou, H., & Hong, W. (2020) · IEEE Access · doi:10.1109/access.2020.2978070 · Cited by 53
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Zhang, S., Zhu, D., & Wang, Y. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107212 · Cited by 53
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Yau, K. A., Qadir, J., Wu, C., Imran, M. A., & Ling, M. H. (2018) · IEEE Access · doi:10.1109/access.2018.2849446 · Cited by 52
Li, Y., Ye, H., Wu, S., Zhao, X., Liu, Y., Lv, L., Zhang, P., Zhang, X., & Zhou, Y. (2021) · JMIR Serious Games · doi:10.2196/30653 · Cited by 52
Devi, R., Jha, R. K., Gupta, A., Jain, S., & Kumar, P. (2017) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2017.01.025 · Cited by 52
Self-citationFazio, P., Rango, F. D., & Tropea, M. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2684778 · Cited by 52
Al-Samman, A. M., Rahman, T. A., & Azmi, M. H. (2018) · Wireless Communications and Mobile Computing · doi:10.1155/2018/6369517 · Cited by 52
Vilgelm, M., Gürsu, H. M., Kellerer, W., & Martin Reisslein, B. (2017) · IEEE Access · doi:10.1109/access.2017.2651170 · Cited by 51
Feng, J., Ma, S., Yang, G., & Xia, B. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2702181 · Cited by 51
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dos Anjos, J. C. S., Gross, J. L. G., Matteussi, K. J., González, G. V., Leithardt, V. R. Q., & Geyer, C. F. R. (2021) · Sensors · doi:10.3390/s21092914 · Cited by 51
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Salim, M. M., Wang, D., Elsayed, H. A. E. A., Liu, Y., & Elaziz, M. A. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2999618 · Cited by 49
Jain, P., Gupta, A., & Kumar, N. (2022) · Physical Communication · doi:10.1016/j.phycom.2022.101917 · Cited by 49
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He, S., Ren, J., Wang, J., Huang, Y., Zhang, Y., Zhuang, W., & Shen, S. (2019) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2019.2906791 · Cited by 46
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Das, D., Banerjee, S., Dasgupta, K., Chatterjee, P., Ghosh, U., & Biswas, U. (2023) · International Conference on Distributed Computing and Networking (ICDCN) · doi:10.1145/3571306.3571445 · Cited by 49
Valente, R., Ruijter, C. D., Vlasveld, D. P. N., van der Zwaag, S., & Groen, P. (2017) · IEEE Access · doi:10.1109/access.2017.2741527 · Cited by 47
On Chip Antenna Measurement: A Survey of Challenges and Recent Trends
Karim, M. S. A., Yang, X., & Shafique, M. F. (2018) · IEEE Access · doi:10.1109/access.2018.2821196 · Cited by 47
Analysis of Graphene Antenna Properties for 5G Applications
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Metadata
- Authors
- Gupta, A., & Jha, R. K.
- Affiliations
- Shri Mata Vaishno Devi University (IN)
- ORCID
- Venue
- IEEE Access
- Published
- 2015
- Volume
- 3
- Pages
- 1206-1232
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2128145324
- Cited by
- 2,420
- References
- 108
- Citations by year
- 2026: 62 · 2025: 142 · 2024: 191 · 2023: 219 · 2022: 263 · 2021: 314 · 2020: 302 · 2019: 330 · 2018: 276 · 2017: 217 · 2016: 98 · 2015: 5
- FWCI
- 95.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
- Physical Sciences › Engineering › Media Technology › Telecommunications and Broadcasting Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- massive MIMO, device-to-device communication, interference management, cognitive radio, spectrum sharing, ultra-dense networks, multi-RAT, full-duplex radios, millimeter wave, cloud radio access network, software-defined networking, Internet of Things, beyond 4G
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