TEJAS Journal of Technologies and Humanitarian Science

Interpretation of Huge Mobile Data Science using Handover Approach

Ambrish Kumar Mishra
Shri Ramswaroop Memorial University, Barabanki, India, 225003

Author

Bineet Kumar Gupta
Shri Ramswaroop Memorial University, Barabanki, India, 225003

Author

Satya Bhushan Verma
Shri Ramswaroop Memorial University, Barabanki, India, 225003

Author

Doi: https://doi.org/10.63920/tjths.32012

Keywords: Mobility management, handover control parameters, handover margin, self-optimization, heterogeneous networks

Abstract:

Enabling seamless connectivity through user mobility is a critical challenge in mobile heterogeneous networks (HetNets). Future deployments of Fifth Generation (5G) and other mobile networks are predicted to exacerbate the situation and result in Ultra-Dense HetNets. The use of millimeter waves (mm Waves), the exponential growth in connected mobile devices, overlapping network deployments, and the utilization of dual High mobility speed possibilities are supported by connectivity (DC), carrier aggregation (CA), the proliferation of connected drones, and the widespread deployment of tiny cells. These are only a handful of the important elements that are behind this. There will thus be a higher probability of changeover failure, handover ping-pong, unnecessary handovers, interruption delays, and throughput degradation. The exponential growth in mobile connections is another expected challenge for next-generation mobile networks. The amount of linked mobile devices is increasing exponentially.IoT devices are also multiplying in number. A ubiquitous connection and additional network capacity will be required once a large number of mobile devices are added. Therefore, in organize to increase connectivity and decrease coverage gaps, it is recommended that various types of micro cells be employed in mobile networks in the future.

References

[1] P.-J. Hsieh, W.-S. Lin, K.-H. Lin, and H.-Y. Wei, “Dual-connectivity prevenient handover scheme in control/user-plane split networks,” IEEE Trans. Veh. Technol., vol. 67, no. 4, pp. 3545–3560, 2017.

[2] K. Kanwal and G. A. Safdar, “Energy efficiency and superlative TTT for equitable RLF and ping pong in LTE networks,” Mobile Netw. Appl., vol. 23, no. 6, pp. 1682–1692, 2018.

[3] A. Pompigna and R. Mauro, “Smart roads: A state of the art of highways innovations in the smart age,” Eng. Sci. Technol., an Int. J., vol. 25, p. 100986, 2022.

[4] Ericsson, “Mobile subscriptions outlook (mobility forecasting report),” Ericsson, 2021. Accessed: 2021.

[5] M. Pätzold, “5G is going live in country after country [Mobile Radio],” IEEE Veh. Technol. Mag., vol. 14, no. 4, pp. 4–10, 2019.

[6] M. Shayea et al., “Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia,” IEEE Access, vol. 7, pp. 24910–24933, 2019.

[7] M. Shayea et al., “Predicting required licensed spectrum for the future considering big data growth,” ETRI J., vol. 41, no. 2, pp. 224–234, 2019.

[8] M. Shayea et al., “Rain attenuation and worst month statistics verification and modeling for 5G radio link system at 26 GHz in Malaysia,” Trans. Emerg. Telecommun. Technol., vol. 30, no. 12, p. e3697, 2019.

[9] M. Shayea et al., “Real measurement study for rain rate and rain attenuation over 26 GHz microwave 5G link system in Malaysia,” IEEE Access, vol. 6, pp. 19044–19064, 2018.

[10] T. S. Rappaport et al., “Millimeter wave mobile communications for 5G networks: It will work!,” IEEE Access, vol. 1, pp. 335–349, 2013.

[11] M. Shayea et al., “Key challenges, drivers and solutions for mobility management in 5G networks: A survey,” IEEE Access, vol. 8, pp. 172534–172552, 2020.

[12] M. H. Alsharif et al., “Machine learning algorithms for smart data analysis in Internet of Things environment: Taxonomies and research trends,” Symmetry, vol. 12, no. 1, p. 88, 2020.

[13] Y. Kim et al., “New radio (NR) and its evolution toward 5G-Advanced,” IEEE Wireless Commun., vol. 26, no. 3, pp. 2–7, 2019.

[14] A. M. Al-Samman et al., “Path loss model and channel capacity for UWB–MIMO channel in outdoor environment,” Wireless Pers. Commun., vol. 107, no. 1, pp. 271–281, 2019.