• Décio Rennó de M. Faria
  • Renan A. dos Santos
  • Kenedy Marconi G. Santos
  • Danilo H. Spadoti




5G mobile communication, Controlled Beam antennas, Internet of Things, Radio direction finder


The interference in adjacent cells and the control of the boundaries have being vastly investigated since the conception of the first cell phone networks. A very large number of small cells are required for new 5G mobile networks, and therefore it is even more important to determine the correct mobile station positioning as well as the control boundaries. In order to minimize these problems, this paper proposes a simple and efficient system that improves the control of the Mobile Management Entity (MME) defined in the Release 8 of 3GPP. The system uses a tracking arrangement capable of determining the direction of the mobile station in the cell area. This information can be used to predict handover between adjacent nodes (changing of cell) minimizing a great problem, the high traffic in the backhaul network. In order to reach these goals, two or more receiver antennas are used as a Radio Direction Finder (RDF) and phase controlled directional antennas or massive multiple-input and multiple-output antennas pointing to different irradiation channels towards different directions. The theoretical section developed in this study was successfully confirmed by the experimental setup with results very closed to the developed formulation.


[1] S. Chen, J. Zhao, “The requirements, challenges, and technologies for 5G of terrestrial telecommunication”, IEEE
Communication Magazine., vol. 52, no. 5, pp. 36-43, 2014.
[2] E. P. L. Almeida, G. Caldwell, I. Rodriguez, R. D. Vieira, T. B. Soerensen, P. Mogensen, L. G. U. Garcia, “5G in
Open-Pit Mines: Considerations on Large-Scale Propagation in Sub-6 GHz Bands”, In IEEE Globecom
Workshops 2017, Singapore, 2017.
[3] F. Hillebrand, “The creation of standards for global mobile communication: GSM and UMTS standardization
from 1982 to 2000”, IEEE Wireless Communication, vol. 20, no. 5, pp. 24–33, 2013.
[4] Huawei, “5G: A Technology Vision”, Huawei, Dec. 2013. [Online]. Available:
https://www.huawei.com/ilink/en/download/HW_314849. [Accessed: Jan. 23, 2019].
[5] Cisco, “Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016-2021”, Cisco, Jul.
2018. [Online]. Available: https://www.cisco.com. [Accessed: Jan. 23, 2019].
[6] Ericsson, “Ericson Mobility Report 2018”, Ericsson, Jun. 2018. [Online]. Available: https://www.ericsson.com.
[Accessed: Jan. 23, 2019].
[7] M. Bacco, P. Cassará, M. Colucci, A. Gotta, “Modeling Reliable M2M/IoT Traffic Over Random Access Satellite
Links in Non-Saturated Conditions”, IEEE Journal on Selected Areas in Communications, vol. 36, no. 5, pp.
1042-1051, May 2018.
[8] L. Zhang, A. Ijaz, P. Xiao, R. Tafazolli, “Multi-Service System: An Enabler of Flexible 5G Air Interface”, IEEE
Communication Magazine, vol. 55, no. 10, pp. 152-159, 2017.
[9] T. E. Bogale, L. B. Le, “Massive MIMO and mmWave for 5G wireless HetNet: Potential benefits and
Challenges”, IEEE Vehicular Technology Magazine, vol. 11, no. 1, pp. 64-75, 2016.
[10] W. Hong, Z. H. Jiang, C. Yu, J. Zhou, P. Chen, Z. Yu, H. Zhang, B. Yang, X. Pang, M. Jiang, Y. Cheng, M. K. T.
Al-Nuaimi, Y. Zhang, J. Chen, S. He, “Multibeam antenna Technologies for 5G Wireless Communications”,
IEEE Transactions on Antennas and Propagation, vol. 65, no. 12, pp.64-75, 2017.
[11] H. Raza, “A Brief Survey of Radio Access Network Backhaul Evolution: Part II”, IEEE Communication
Magazine, vol. 51, no. 5, pp. 170-177, May 2013.
[12] L. Xu, X. Pan, Q. Li, “Spectrum allocation for cognitive multi-homing networks”, 3rd IEEE International
Conference on Computer and Communications, Chengdu, China, Dec. 2017.
[13] S. Saadat, Da Chen, T. Jiang, “Multipath multihop mmWave backhaul in ultra-dense small-cell network”, Digital
Communications and Networks, vol. 4, no. 2, pp. 111-117, 2018.
[14] A. Jain, E. L. Aguilera, I. Demirkol, “Enhanced Handover Signaling through Integrated MME-SDN Controller
Solution”, IEEE 87th Vehicular Technology Conference, Porto, Portugal, Jun. 2018.
[15] Y. Wang, Q. Chen, G. Yu, “Multi-Homing in Unlicensed LTE Networks”, IEEE International Conference on
Communications, Kansas City, MO, USA, Jul. 2018.
[16] A. Habbal, S. I. Goudar, S. Hassan, “A Context-aware Radio Access Technology selection mechanism in 5G
mobile network for smart city applications”, Journal of Network and Computer Applications, vol. 135, pp. 97-107,
[17] M. Bagaa, T. Taleb, A. Ksentini, “Efficient Tracking Area Management in Carrier Cloud”, IEEE Global
Communication Conference, San Diego, CA, Dec. 2015.
[18] ETSI, “Multiplexing and channel coding”, 3GPP TS 36.212, v14.3.0, Jun. 2017 [Online]. Available:
https://www.etsi.org [Accessed: Jan. 23, 2019].
[19] M. J. Marcus, “5G and ’IMT for 2020 and beyond’ [spectrum policy and regulatory issues]”, IEEE Wireless
Communication, vol. 22, no. 4, pp. 2-3, 2015.
[20] Civil Aviation Authority, “Description of NDB and ADF Operation and Definition of Protection Requirements”,
Eurocontrol, Reference: 8AP/88/08/04, Issue 2, Jul. 2000. [Online]. Available: https://www.icao.int [Accessed:
Jan. 23, 2019].
[21] D. Zhu, J. Choi, Q. Cheng, W. Xiao, R. W. Heath, “High-Resolution Angle Tracking for Mobile Wideband
Millimeter-Wave Systems With Antenna Array Calibration”, IEEE Transactions on Wireless Communications,
vol. 17, no. 11, pp. 7173-7189, 2018.
[22] F. K. Jose, L. H. Lolis, S. B. Mafra, E. P. Ribeiro, “Spectral Efficiency Analysis in Massive MIMO using FBMCOQAM Modulation”, Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), vol. 17,
no. 4, pp. 604-618, 2018.
[23] J. D. Kraus and K. R. Carver, Electromagnetics, Tokio: McGraw-Hill, 1973.
[24] R. Bansal, Fundamentals of Engineering Electromagnetics, Boca Raton: Taylor & Francis Group, 2006.
[25] S. Aditya, A. F. Molisch, H. M. Behairy, “A survey on the Impact of Multipath on Wideband Time-of-ArrivalBased Localization”, Proceedings of the IEEE, vol. 106, no. 7, pp. 1183-1203, 2018.




How to Cite

Décio Rennó de M. Faria, Renan A. dos Santos, Kenedy Marconi G. Santos, & Danilo H. Spadoti. (2020). A SYSTEM TO IMPROVE THE MANAGEMENT OF 5G AND IOT NETWORKS BY DETERMINING THE MOBILE POSITION. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 18(2), 293–305. https://doi.org/10.1590/2179-10742019v18i21616



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