Literature Review of Handover Decision Algorithms in 5G Networks

Mohsin, Hasan Sattar; Saad, Wasan Kadhim; Shayea, Ibraheem

doi:10.1109/wincom59760.2023.10322978

2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM) 2023

DOI: 10.1109/wincom59760.2023.10322978

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Literature Review of Handover Decision Algorithms in 5G Networks

Hasan Sattar Mohsin,

Wasan Kadhim Saad,

Ibraheem Shayea

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2024

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Cited by 2 publications

References 39 publications

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Machine learning-based approaches for handover decision of cellular-connected drones in future networks: A comprehensive review

Zaid,

Kadir,

Shayea

et al. 2024

Engineering Science and Technology, an International Journal

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Machine learning-based approaches for handover decision of cellular-connected drones in future networks: A comprehensive review

Zaid,

Kadir,

Shayea

et al. 2024

Engineering Science and Technology, an International Journal

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Optimizing Femtocell Networks: A Novel Game Theory Based Power Management Model for Enhanced SINR and Energy Efficiency

Airlangga,

Sihombing,

Bata

et al. 2024

IEEE Access

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This research presents a novel game theory based model for femtocell power management, engineered to significantly enhance the Signal-to-Interference-plus-Noise Ratio (SINR) while optimizing energy consumption across wireless communication networks. Femtocells, as a solution to the increasing demand for high-quality indoor network coverage, face challenges in power management and interference mitigation. Our proposed model addresses these issues, providing a sophisticated algorithmic approach that ensures high SINR levels without a proportional increase in power usage. Through a series of simulations, the model's performance was evaluated against existing power management techniques. The results, delineated across several tables, revealed that the proposed model consistently achieved and often surpassed targeted SINR levels with modest power consumption increments, even at high targets. Notably, at a SINR target of 20, the model sustained a high SINR of 23.62 while maintaining a reasonable energy profile. Additionally, the model exhibited exceptional operational efficiency, characterized by low execution times and rapid convergence rates, across varying network conditions. This responsiveness is essential for adapting to user mobility and varying traffic patterns, particularly in dense urban settings and during peak usage periods.

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Literature Review of Handover Decision Algorithms in 5G Networks

Cited by 2 publications

References 39 publications

Machine learning-based approaches for handover decision of cellular-connected drones in future networks: A comprehensive review

Machine learning-based approaches for handover decision of cellular-connected drones in future networks: A comprehensive review

Optimizing Femtocell Networks: A Novel Game Theory Based Power Management Model for Enhanced SINR and Energy Efficiency

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