The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
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.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Flagged first, then by citations
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
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 1,913
Shafique, K., Khawaja, B. A., Sabir, F., Qazi, S., & Mustaqim, M. (2020) · IEEE Access · doi:10.1109/access.2020.2970118 · Cited by 1,401
Internet of Things is a revolutionary approach for future technology enhancement: a review
Kumar, S., Tiwari, P., & Zymbler, M. (2019) · Journal of Big Data · doi:10.1186/s40537-019-0268-2 · Cited by 1,253
Multibeam Antenna Technologies for 5G Wireless Communications
Hong, W., Jiang, Z. H., Yu, C., Zhou, J., Chen, P., Yu, Z., Zhang, H., Yang, B., Pang, X., Jiang, M. Y., et al. (2017) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2017.2712819 · Cited by 1,227
Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey
Zhang, J. A., Rahman, M. L., Wu, K., Huang, X., Guo, Y. J., Chen, S., & Yuan, J. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3122519 · Cited by 1,145
A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions
Parvez, I., Rahmati, A., Güvenç, İ., Sarwat, A. I., & Dai, H. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2841349 · Cited by 883
Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues
Čolaković, A., & Hadžialić, M. (2018) · Computer Networks · doi:10.1016/j.comnet.2018.07.017 · Cited by 825
A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives
Ahmed, I., Khammari, H., Shahid, A., Musa, A., Kim, K. S., Poorter, E. D., & Moerman, I. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2843719 · Cited by 822
Internet of Things (IoT) and the Energy Sector
Motlagh, N. H., Mohammadrezaei, M., Hunt, J. D., & Zakeri, B. (2020) · Energies · doi:10.3390/en13020494 · Cited by 837
Simsek, M., Aijaz, A., Dohler, M., Sachs, J., & Fettweis, G. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2525398 · Cited by 753
Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey
Busari, S. A., Huq, K. M. S., Mumtaz, S., Dai, L., & Rodríguez, J. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2787460 · Cited by 763
A Survey on 5G Usage Scenarios and Traffic Models
Navarro‐Ortiz, J., Romero-Díaz, P., Sendra, S., Ameigeiras, P., Ramos-Munoz, J. J., & Lopez-Soler, J. M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2971781 · Cited by 717
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
Alahi, M. E. E., Sukkuea, A., Tina, F. W., Nag, A., Kurdthongmee, W., Suwannarat, K., & Mukhopadhyay, S. C. (2023) · Sensors · doi:10.3390/s23115206 · Cited by 740
Xu, Y., Gui, G., Li, G., Liu, M., Gacanin, H., & Adachi, F. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3059896 · Cited by 651
Atzori, L., Iera, A., & Morabito, G. (2016) · Ad Hoc Networks · doi:10.1016/j.adhoc.2016.12.004 · Cited by 625
6G Wireless Communications Networks: A Comprehensive Survey
Alsabah, M. Q., Naser, M. A., Mahmmod, B. M., Abdulhussain, S. H., Eissa, M. R., Al-Baidhani, A., Noordin, N. K., Sait, S. M., Al-Utaibi, K. A., & Hashim, F. (2021) · IEEE Access · doi:10.1109/access.2021.3124812 · Cited by 622
Khan, R., Kumar, P., Jayakody, D. N. K., & Liyanage, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2933899 · Cited by 625
A Survey on Green 6G Network: Architecture and Technologies
Huang, T., Yang, W., Wu, J., Ma, J., Zhang, X., & Zhang, D. (2019) · IEEE Access · doi:10.1109/access.2019.2957648 · Cited by 563
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
Wang, J., Jiang, C., Zhang, H., Ren, Y., Chen, K.-C., & Hanzo, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2965856 · Cited by 568
A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges
Ometov, A., Shubina, V., Klus, L., Skibińska, J., Saafi, S., Pascacio, P., Flueratoru, L., Quezada-Gaibor, D., Chukhno, N., Chukhno, O., et al. (2021) · Computer Networks · doi:10.1016/j.comnet.2021.108074 · Cited by 572
Aceto, G., Persico, V., & Pescapé, A. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.02.008 · Cited by 504
A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies
Dogra, A., Jha, R. K., & Jain, S. (2020) · IEEE Access · doi:10.1109/access.2020.3031234 · Cited by 514
Self-citationA Comprehensive Survey of Pilot Contamination in Massive MIMO—5G System
Elijah, O., Leow, C. Y., Rahman, T. A., Nunoo, S., & Iliya, S. Z. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2504379 · Cited by 473
Challenges and Solutions for Cellular Based V2X Communications
Gyawali, S., Xu, S., Qian, Y., & Hu, R. Q. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3029723 · Cited by 492
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
How Decarbonization, Digitalization and Decentralization are changing key power infrastructures
Silvestre, M. L. D., Favuzza, S., Sanseverino, E. R., & Zizzo, G. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.05.068 · Cited by 410
Study and Investigation on 5G Technology: A Systematic Review
Dangi, R., Lalwani, P., Choudhary, G., You, I., & Pau, G. (2021) · Sensors · doi:10.3390/s22010026 · Cited by 374
Alimi, I. A., Teixeira, A., & Monteiro, P. P. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2773462 · Cited by 367
Ahmad, I., Shahabuddin, S., Kumar, T., Okwuibe, J., Gurtov, A., & Ylianttila, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2916180 · Cited by 366
5G Key Technologies for Smart Railways
Ai, B., Molisch, A. F., Rupp, M., & Zhong, Z. D. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2988595 · Cited by 359
Khan, A. A., Rehmani, M. H., & Martin Reisslein, B. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2481722 · Cited by 355
A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks
Bariah, L., Mohjazi, L., Muhaidat, S., Sofotasios, P. C., Kurt, G. K., Yanıkömeroğlu, H., & Dobre, O. A. (2020) · IEEE Access · doi:10.1109/access.2020.3019590 · Cited by 356
A survey on the 5G network and its impact on agriculture: Challenges and opportunities
Tang, Y., Dananjayan, S., Hou, C., Guo, Q., Luo, S., & He, Y. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105895 · Cited by 343
Satellite-5G Integration: A Network Perspective
Giambene, G., Kota, S., & Pillai, P. (2018) · IEEE Network · doi:10.1109/mnet.2018.1800037 · Cited by 341
Full spectrum sharing in cognitive radio networks toward 5G: a survey
Hu, F., Chen, B., & Zhu, K. (2018) · IEEE Access · doi:10.1109/access.2018.2802450 · Cited by 321
Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks
Zhang, S., Wu, Q., Xu, S., & Li, G. Y. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2594120 · Cited by 322
A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System
Habibi, M. A., Nasimi, M., Han, B., & Schotten, H. D. (2019) · IEEE Access · doi:10.1109/access.2019.2919657 · Cited by 314
5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks
Ahmad, W. S. H. M. W., Radzi, N. A. M., Samidi, F. S., Ismail, A., Abdullah, F., Jamaludin, M. Z., & Zakaria, M. N. (2020) · IEEE Access · doi:10.1109/access.2020.2966271 · Cited by 310
Airborne Communication Networks: A Survey
Cao, X., Yang, P., Alzenad, M., Xi, X., Wu, D., & Yanikomeroglu, H. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2864423 · Cited by 331
Machine Learning for Network Automation: Overview, Architecture, and Applications [Invited Tutorial]
Rafique, D., & Velasco, L. (2018) · Journal of Optical Communications and Networking · doi:10.1364/jocn.10.00d126 · Cited by 300
Optical Wireless Communication Channel Measurements and Models
Al-Kinani, A., Wang, C., Zhou, L., & Zhang, W. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2838096 · Cited by 287
Device-to-Device Communication in Cellular Networks: A Survey
Gandotra, P., & Jha, R. K. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.06.004 · Cited by 285
Self-citationLi, L., Zhao, P. G., & Blum, R. S. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2820021 · Cited by 282
Sutton, G. J., Zeng, J., Liu, R. P., Ni, W., Nguyen, D. N., Jayawickrama, B. A., Huang, X., Abolhasan, M., Zhang, Z., Dutkiewicz, E., et al. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2897800 · Cited by 272
Firdose, S., Avgeris, M., Spatharakis, D., Santi, N., Dechouniotis, D., Violos, J., Leivadeas, A., Αθανασόπουλος, Ν., Mitton, N., & Papavassiliou, S. (2021) · Computer Networks · doi:10.1016/j.comnet.2021.108177 · Cited by 283
Ferrag, M. A., Maglaras, L. A., Argyriou, A., Kosmanos, D., & Janicke, H. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.10.017 · Cited by 277
Joint Optimization of Cloud and Edge Processing for Fog Radio Access Networks
Park, S.-H., Simeone, O., & Shamai, S. S. (2016) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit.2016.7541312 · Cited by 258
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
Massive MIMO Linear Precoding: A Survey
Fatema, N., Hua, G., Xiang, Y., Peng, D., & Natgunanathan, I. (2017) · IEEE Systems Journal · doi:10.1109/jsyst.2017.2776401 · Cited by 253
A Review of 5G Front-End Systems Package Integration
Watanabe, A. O., Ali, M., Sayeed, S. Y. B., Tummala, R., & Raj, P. M. (2020) · IEEE Transactions on Components Packaging and Manufacturing Technology · doi:10.1109/tcpmt.2020.3041412 · Cited by 254
Esenogho, E., Djouani, K., & Kurien, A. M. (2022) · IEEE Access · doi:10.1109/access.2022.3140595 · Cited by 284
Green Communication in Next Generation Cellular Networks: A Survey
Gandotra, P., Jha, R. K., & Jain, S. (2017) · IEEE Access · doi:10.1109/access.2017.2711784 · Cited by 243
Self-citationDSF-NOMA: UAV-Assisted Emergency Communication Technology in a Heterogeneous Internet of Things
Liu, M., Yang, J., & Gui, G. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2903165 · Cited by 242
Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review
Ahad, A., Tahir, M., Sheikh, M. A., Ahmed, K. I., Mughees, A., & Numani, A. (2020) · Sensors · doi:10.3390/s20144047 · Cited by 247
Alsharif, M. H., & Nordin, R. (2016) · Telecommunication Systems · doi:10.1007/s11235-016-0195-x · Cited by 237
Antenna-in-Package Design Considerations for Ka-Band 5G Communication Applications
Liu, D., Gu, X., Baks, C. W., & Valdes‐Garcia, A. (2017) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2017.2722873 · Cited by 231
D2D Communications Meet Mobile Edge Computing for Enhanced Computation Capacity in Cellular Networks
He, Y., Ren, J., Yu, G., & Cai, Y. (2019) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2896999 · Cited by 223
A survey on device-to-device (D2D) communication: Architecture and security issues
Gandotra, P., Kumar Jha, R., & Jain, S. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.11.002 · Cited by 221
Self-citationThe Role of 5G Technologies: Challenges in Smart Cities and Intelligent Transportation Systems
Guevara, L., & Cheein, F. A. (2020) · Sustainability · doi:10.3390/su12166469 · Cited by 223
Private 5G Networks: Concepts, Architectures, and Research Landscape
Wen, M., Li, Q., Kim, K. J., López-Pérez, D., Dobre, O. A., Poor, H. V., Popovski, P., & Tsiftsis, T. A. (2021) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2021.3137669 · Cited by 229
Power Optimization in 5G Networks: A Step Towards GrEEn Communication
Abrol, A., & Jha, R. K. (2016) · IEEE Access · doi:10.1109/access.2016.2549641 · Cited by 203
Self-citationSpectrum sensing based on deep learning classification for cognitive radios
Zheng, S., Chen, S., Qi, P., Zhou, H., & Yang, X. (2020) · China Communications · doi:10.23919/jcc.2020.02.012 · Cited by 210
Weak-Field-Based Self-Decoupling Patch Antennas
Lin, H., Chen, Q., Ji, Y., Yang, X., Wang, J., & Ge, L. (2020) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2020.2970109 · Cited by 195
Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks
Coronado, E., Behravesh, R., Subramanya, T., Fernández–Fernández, A., Siddiqui, M. S., Costa‐Pérez, X., & Riggio, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3212586 · Cited by 203
Hossain, M. A., Noor, R. M., Yau, K. A., Ahmedy, I., & Anjum, S. S. (2019) · IEEE Access · doi:10.1109/access.2019.2895645 · Cited by 179
Secure and Efficient Data Sharing Among Vehicles Based on Consortium Blockchain
Cui, J., Ouyang, F., Ying, Z., Wei, L., & Zhong, H. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3086976 · Cited by 181
Gu, X., Liu, D., Baks, C. W., Tageman, O., Sadhu, B., Hallin, J., Rexberg, L., Parida, P. R., Kwark, Y. H., & Valdes‐Garcia, A. (2019) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.2019.2912819 · Cited by 179
Security Enhancement for IoT Communications Exposed to Eavesdroppers With Uncertain Locations
Xu, Q., Ren, P., Song, H., & Du, Q. (2016) · IEEE Access · doi:10.1109/access.2016.2575863 · Cited by 178
Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions
Siddiqui, M. U. A., Qamar, F., Ahmed, F., Nguyễn, Q. N., & Hassan, R. B. (2021) · IEEE Access · doi:10.1109/access.2021.3073543 · Cited by 176
A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms
Shahraki, A., Taherkordi, A., Haugen, Ø., & Eliassen, F. (2020) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2020.3035315 · Cited by 174
Integrated NFV/SDN Architectures
Bonfim, M., Dias, K., & Fernandes, S. (2019) · ACM Computing Surveys · doi:10.1145/3172866 · Cited by 168
5G In the internet of things era: An overview on security and privacy challenges
Sicari, S., Rizzardi, A., & Coen‐Porisini, A. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107345 · Cited by 169
Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities
Zhang, S., & Zhu, D. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107556 · Cited by 176
Abuella, H., Elamassie, M., Uysal, M., Xu, Z., Serpedin, E., Qaraqe, K. A., & Ekin, S. (2021) · IEEE Access · doi:10.1109/access.2021.3129154 · Cited by 166
A Tensor-Based Big-Data-Driven Routing Recommendation Approach for Heterogeneous Networks
Wang, X., Yang, L. T., Kuang, L., Liu, X., Zhang, Q., & Deen, M. J. (2019) · IEEE Network · doi:10.1109/mnet.2018.1800192 · Cited by 162
Combination of Ultra-Dense Networks and Other 5G Enabling Technologies: A Survey
Adedoyin, M. A., & Falowo, O. E. (2020) · IEEE Access · doi:10.1109/access.2020.2969980 · Cited by 162
A survey of 5G network systems: challenges and machine learning approaches
Fourati, H., Mâaloul, R., & Fourati, L. C. (2020) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-020-01178-4 · Cited by 170
The Current Situation and Future Prospects of Simulators in Dental Education
Li, Y., Ye, H., Ye, F., Liu, Y., Lv, L., Zhang, P., Zhang, X., & Zhou, Y. (2021) · Journal of Medical Internet Research · doi:10.2196/23635 · Cited by 159
A 5G Cognitive System for Healthcare
Chen, M., Yang, J., Hao, Y., Mao, S., & Hwang, K. (2017) · Big Data and Cognitive Computing · doi:10.3390/bdcc1010002 · Cited by 159
5G, 6G, and Beyond: Recent advances and future challenges
Salahdine, F., Han, T., & Zhang, N. (2023) · Annals of Telecommunications · doi:10.1007/s12243-022-00938-3 · Cited by 166
Revolution or Evolution? Technical Requirements and Considerations towards 6G Mobile Communications
Alraih, S., Shayea, I. A. M., Behjati, M., Nordin, R., Abdullah, N. F., Abu-Samah, A., & Nandi, D. (2022) · Sensors · doi:10.3390/s22030762 · Cited by 154
5G-enabled devices and smart-spaces in social-IoT: An overview
Al-Turjman, F. M. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.11.035 · Cited by 146
Decoupling of Inverted-F Antennas With High-Order Modes of Ground Plane for 5G Mobile MIMO Platform
Zhao, X., Yeo, S. P., & Ong, L. C. (2018) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2018.2851381 · Cited by 145
Triband Dual-Polarized Shared-Aperture Antenna for 2G/3G/4G/5G Base Station Applications
Zhou, G., Sun, B., Liang, Q., Wu, S., Yang, Y., & Cai, Y. (2020) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2020.3016406 · Cited by 144
Millimetre wave frequency band as a candidate spectrum for 5G network architecture: A survey
Al-Falahy, N., & Alani, O. Y. K. (2019) · Physical Communication · doi:10.1016/j.phycom.2018.11.003 · Cited by 138
Integration of VANET and 5G Security: A review of design and implementation issues
Hussain, R., Hussain, F. A., & Zeadally, S. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.07.006 · Cited by 142
Wireless Backhaul in 5G and Beyond: Issues, Challenges and Opportunities
Tezergil, B., & Ertan Onur, A. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3203578 · Cited by 147
Review Paper on Hardware of Reconfigurable Intelligent Surfaces
Rana, B., Cho, S., & Hong, I. (2023) · IEEE Access · doi:10.1109/access.2023.3261547 · Cited by 145
Luong, N. C., Wang, P., Niyato, D. T., Liang, Y., Han, Z., & Hou, F. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2870996 · Cited by 140
Video Caching, Analytics, and Delivery at the Wireless Edge: A Survey and Future Directions
Jedari, B., Premsankar, G., Illahi, G. K., Francesco, M. D., Mehrabi, A., & Ylä-Jääski, A. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3035427 · Cited by 139
Intelligent network data analytics function in 5G cellular networks using machine learning
Sevgican, S., Turan, M., Gökarslan, K., Yilmaz, H. B., & Tuna Tugcu, A. (2020) · Journal of Communications and Networks · doi:10.1109/jcn.2020.000019 · Cited by 134
Hussain, N., & Kim, N. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3194676 · Cited by 133
A Review of Physical Layer Security Techniques for Internet of Things: Challenges and Solutions
Sun, L., & Du, Q. (2018) · Entropy · doi:10.3390/e20100730 · Cited by 129
A survey on low-power wide area networks for IoT applications
Bembe, M. J., Abu-Mahfouz, A. M. I., Masonta, M. T., & Ngqondi, T. (2019) · Telecommunication Systems · doi:10.1007/s11235-019-00557-9 · Cited by 130
A Survey of Machine Learning Applications to Handover Management in 5G and Beyond
Mollel, M. S., Abubakar, A. I., Öztürk, M., Kaijage, S. F., Kisangiri, M. F., Hussain, S., Imran, M. A., & Abbasi, Q. H. (2021) · IEEE Access · doi:10.1109/access.2021.3067503 · Cited by 137
Toward 6G Optical Fronthaul: A Survey on Enabling Technologies and Research Perspectives
Fayad, A., Cinkler, T., & Rak, J. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3408090 · Cited by 126
A Survey of Self-Interference Management Techniques for Single Frequency Full Duplex Systems
Nwankwo, C. D., Zhang, L., Quddus, A. U., Imran, M. A., & Tafazolli, R. (2017) · IEEE Access · doi:10.1109/access.2017.2774143 · Cited by 125
Delta-Sigma Modulation for Next Generation Fronthaul Interface
Wang, J., Jia, Z., Campos, L. A., & Knittle, C. (2018) · Journal of Lightwave Technology · doi:10.1109/jlt.2018.2872057 · Cited by 125
LTE-Maritime: High-Speed Maritime Wireless Communication Based on LTE Technology
Jo, S.-W., & Shim, W.-S. (2019) · IEEE Access · doi:10.1109/access.2019.2912392 · Cited by 125
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
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
