Self-optimizing Mathematical Model for Energy-Efficient Vertical Handover Management (VHM) in Mobile Heterogeneous Networks (Het-Nets)

Authors

  • Joseph O. AJAO, Enem Theophilus Aniemeka, Wumi AJAYI, Adesoji Adedeji Adegbola, Ruth Amanze, Aderonke Adegbenjo, Oluwatofunmi O. Adetunji, Oladapo O. Adeduro, Folasade Adedeji, Adelowo Opeyemi Joshua, Ojo Abosede Ibironke, Olaoye Monday Olutayo

Keywords:

Energy, Heterogeneous Networks (Het-Nets), Passive Optical Network (PON), Sleep Mode, Vertical Handover.

Abstract

Energy is one of the parameters considered for the Vertical Handover Optimisation (VHO) in Heterogeneous Networks (Het-Nets). Newer generations of Radio Access Technologies (RATs)- notably 4G, consume more power and mitigate the users’ Quality of Experience (QoE) compared to the older generations of mobile Het-Nets. Consequently, low-end Mobile subscribers with older RATs cannot enjoy the same Quality of Service (QoS) in Het-Nets. Therefore, the energy-efficient Vertical Handover (VH) method, which increases the QoS is highly required in this present age of Het-Nets. In order to show a strong relationship between Energy and Handover, mathematical model for VHO was developed from which algorithms were deduced. The developed mathematical model was evaluated by simulation. Q-learning algorithm was formulated for vertical handover. The result of the experiment performed on the base stations showed that the sleep mode has maintained 97 percent energy consumption when the algorithms were tested with data. The Dynamic Bandwidth Allocation (DBA) application has reduced electricity usage from 5000 Kilowatts to 170 Kilowatts. The method developed improved 96.6% DBA. The study concluded that the enhanced mathematical optimization model has effectively promoted energy efficiency in the handover process. It is therefore recommended for mobile network operators, modelers and system analysts.

Downloads

Download data is not yet available.

References

Arbain, N. & Kasiran, Z. Conceptual mobility model of vertical handover decision in heterogeneous networks, 2019. DOI: 10.11591/ijeecs.v13.i3.pp1143-1151

Chen, D., Gao, D., Quan, W., Wang, Q., Liu, G. & Zhang, H. Promoting Network Automation for Heterogeneous Networks Collaboration. (2020). DOI:10.1109/VTC2020_Fall49728.2020.9348586

Omoniwa, B., Hussain, R., Ahmed J., Iqbal, A., Murkaz, A., Ul-Hasan, Q. & Malik, A. A novel model for minimising unnecessary Handover in heterogeneous networks. (2018). Turkish Journal of Electrical Engineering & Computer Sciences. http://journals.tubitak.gov.tr/elektrik/doi: 10.3906/elk-1710-200

Li, Z., Yu, P., Li, W. & Qiu, X. Modelling and Optimisation of Self-organising Energy-Saving Mechanism for Het-Nets. (2016). DOI: 10.1109/NOMS.2016.7502807

Hamzeh K ., David R ., Sebastià S and José R. An Energy-Efficient Distributed Dynamic Bandwidth Allocation Algorithm for Passive Optical Access Networks. (2020). Sustainability 2020, 12, 2264; doi:10.3390/su12062264. Vol2. pp1-20

Satapathy, P., & Mahapatro, J. Energy-Efficient Vertical Handover in Heterogeneous Networks. (2021). DOI: 10.1109/IEMTRONICS52119.2021.9422583

Ahmed U., Wei Lin J. C., and Srivastava G. Heterogeneous Energy-aware Load Balancing for Industry 4.0 and IoT Environments. ACM Transaction Management Information System. (2022). https://doi.org/10.1145/3543859

Ezz-Eldien N. A., Abdel-Atty, H. M., Abdalla M. I., Mahmoud K. R., and Abdelkader M. F. An adaptive optimized handover decision model for heterogeneous networks. (2023). PLOS ONE 18(11):e0294411.https://doi.org/10.1371/lournal.pone.0294411

Rehman, A.U.; Roslee, M.B.; Jun Jiat, T. A Survey of Handover Management in Mobile HetNets: Current Challenges and Future Directions. Appl. Sci. 2023, 13, 3367. https://doi.org/10.3390/app13053367

Valente Klaine, P., Imran, M. A., Onireti, O. and Souza, R. D. A survey of machine learning techniques applied to self-organising cellular networks. IEEE Communications Surveys and Tutorials. (2017). https://DOI: 10.1109/COMST.2017.2727878

Downloads

Published

13.11.2024

How to Cite

Joseph O. AJAO. (2024). Self-optimizing Mathematical Model for Energy-Efficient Vertical Handover Management (VHM) in Mobile Heterogeneous Networks (Het-Nets). International Journal of Intelligent Systems and Applications in Engineering, 12(4), 4310–4315. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7050

Issue

Section

Research Article