IRO Journal on Sustainable Wireless Systems
IRO Journals
Volume 4 — Issue 2 — June 2022

A Systematic Review on 5G Massive MIMO Antennas

https://doi.org/10.36548/jsws.2022.2.003
S. R. Mugunthan
Associate Professor, Department of Computer Science and Engineering, Sri Indu College of Engineering and Technology, Hyderabad, India
PDF
PDF

How to Cite

Mugunthan, S. R. 2022. “A Systematic Review on 5G Massive MIMO Antennas”. IRO Journal on Sustainable Wireless Systems 4 (2): 90-101. https://doi.org/10.36548/jsws.2022.2.003.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— 5G antenna
— MIMO
— LTE
— ultra-low-latency communications
— antenna gain
Published: 19-07-2022

Abstract

5G mobile network technology is commonly considered as the most established wireless communication paradigm. With the well-established growth of mobile technology, mobile networks were used to solve a wide range of challenges. 5G is considered as the first mobile network to provide high-speed internet access at any time and in any location. The distinct characteristics of 5G, such as enhanced user experience allows users to remotely connect and operate devices, objects, and equipment, differentiate them from conventional 4G technology. As a result, determining where the commercial may benefit from the adoption of the 5G network is crucial. The efficiency of 5G mobile communication technology assessments is evaluated in this research study by employing massive MIMO antennas.

References

  1. Wu, Q.; Cao, Y.;Wang, H.; Hong,W. Machine-learning-assisted optimization and its application to antenna designs: Opportunities and challenges. China Commun. 2020, 17, 152–164.
  2. Taha, A.; Alrabeiah, M.; Alkhateeb, A. Enabling large intelligent surfaces with compressive sensing and deep learning. IEEE Access 2021, 9, 44304–44321.
  3. Jin, Y.; Zhang, J.; Jin, S.; Ai, B. Channel estimation for cell-free mmWave massive MIMO through deep learning. IEEE Trans. Veh. Technol. 2019, 68, 10325–10329.
  4. Alkhateeb, A.; Alex, S.; Varkey, P.; Li, Y.; Qu, Q.; Tujkovic, D. Deep learning coordinated beamforming for highly-mobile millimeter wave systems. IEEE Access 2018, 6, 37328–37348
  5. Li, S.; Liu, Z.; Fu, S.; Wang, Y.; Xu, F. Intelligent Beamforming via Physics-Inspired Neural Networks on Programmable Metasurface. IEEE Trans. Antennas Propag. 2022.
  6. Moerman, A.; Van Kerrebrouck, J.; Caytan, O.; de Paula, I.L.; Bogaert, L.; Torfs, G.; Demeester, P.; Rogier, H.; Lemey, S. Beyond 5G Without Obstacles: mmWaveover-Fiber Distributed Antenna Systems. IEEE Commun. Mag. 2022, 60, 27–33.
  7. Hong, J.P.; Park, J.; Shin, W.; Beak, S. Distributed antenna system design for ultra-reliable low-latency uplink communications. In Proceedings of the 2019 International Conference on Electronics, Information, and Communication (ICEIC), Auckland, New Zealand, 22–25 January 2019; pp. 1–3.
  8. Arnold, M.; Baracca, P.; Wild, T.; Schaich, F.; ten Brink, S. Measured Distributed vs Co-located Massive MIMO in Industry 4.0 Environments. In Proceedings of the 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Porto, Portugal, 8–11 June 2021; pp. 306–310.
  9. Battistella Nadas, J.P. The Path towards Ultra-Reliable Low-Latency Communications Via HARQ; University of Glasgow: Glasgow, Scotland, 2021.
  10. Björnson, E.; Sanguinetti, L. Scalable cell-free massive MIMO systems. IEEE Trans. Commun. 2020, 68, 4247–4261.
  11. S. Li, T. Chi, Y. Wang and H. Wang, “A millimeter-wave dual-feed square loop antenna for 5G communications,” IEEE Transactions on Antennas and Propagation, vol. 65, no. 12, pp. 6317-6328, Dec. 2017.
  12. Liu, L., Cheung, S. W. & Yuk, T. I. Compact MIMO antenna for portable devices in UWB applications. IEEE Trans. Antennas Propag. 61, 4257–4264 (2013).
  13. Zhang, S., Chen, X. & Pedersen, G. F. Mutual coupling suppression with decoupling ground for massive MIMO antenna arrays. IEEE Trans. Vehicular Technol. 68, 7273–7282 (2019).
  14. Sun, X. B. & Cao, M. Y. Low mutual coupling antenna array for WLAN application. Electron. Lett. 53, 368–370 (2017).
  15. Elijah, O.; Leow, C.Y.; Rahman, T.A.; Nunoo, S.; Iliya, S.Z. A comprehensive survey of pilot contamination in massive MIMO—5G system. IEEE Commun. Surv. Tutor. 2015, 18, 905–923.
  16. Papadopoulos, H.;Wang, C.; Bursalioglu, O.; Hou, X.; Kishiyama, Y. Massive MIMO technologies and challenges towards 5G. IEICE Trans. Commun. 2016, 99, 602–621.
  17. Ramesh, M.; Priya, C.G.; Ananthakirupa, V.A.A. Design of efficient massive MIMO for 5G systems—Present and past: A review. In Proceedings of the International Conference on Intelligent Computing and Control (I2C2), Coimbatore, India, 23–24 June 2017; pp. 1–4.
  18. Zhou, Y.; Li, D.; Wang, H.; Yang, A.; Guo, S. QoS-aware energy-efficient optimization for massive MIMO systems in 5G. In Proceedings of the Sixth International Conference onWireless Communications and Signal Processing (WCSP), Hefei, China, 23–25 October 2014; pp. 1–5.
  19. Angrisani, L.; Arpaia, P.; Bonavolonta, F.; Moriello, R.S.L. Academic fablabs for industry 4.0: Experience at University of naples federico II. IEEE Instrum. Meas. Mag. 2018, 21, 6–13.
  20. Hassan, B.; Baig, S.; Asif, M. Key Technologies for Ultra-Reliable and Low-Latency Communication in 6G. IEEE Commun. Stand Mag. 2021, 5, 106–113.
  21. Buratti, C.; Mesini, L.; Verdone, R. Comparing MAC protocols for industrial IoT using Terahertz communications. In Proceedings of the 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, London, UK, 31 August–3 September 2020; pp. 1–7.
  22. Popovski, P.; Stefanovic, C.; Nielsen, J.J.; de Carvalho, E.; Angjelichinoski, M.; Trillingsgaard, K.F.; Bana, A.-S.Wireless access in ultra-reliable low-latency communication (URLLC). IEEE Trans. Commun. 2019, 67, 5783–5801.
  23. Wang, X.; Kong, L.; Kong, F.; Qiu, F.; Xia, M.; Arnon, S.; Chen, G. Millimeter wave communication: A comprehensive survey. IEEE Commun. Surv. Tutor. 2018, 20, 1616–1653.
  24. Zhao, L.; Yang, S.; Chi, X.; Chen,W.; Ma, S. Achieving Energy-Efficient Uplink URLLC with MIMO-Aided Grant-Free Access. IEEE Trans. Wirel. Commun. 2021.
  25. Ding, J.; Nemati, M.; Pokhrel, S.R.; Park, O.S.; Choi, J.; Adachi, F. Enabling grant-free URLLC: An overview of principle and enhancements by massive MIMO. IEEE Internet. Things J. 2021.