Optimizing Handover Decisions for 5G and Legacy Networks Using the Chaotic Whale Optimization Algorithm

International Journal of Electronics and Communication Engineering
© 2025 by SSRG - IJECE Journal
Volume 12 Issue 3
Year of Publication : 2025
Authors : Kiran Mannem, Tavanam Venkata Rao, S.N. Chandra Shekhar
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How to Cite?

Kiran Mannem, Tavanam Venkata Rao, S.N. Chandra Shekhar, "Optimizing Handover Decisions for 5G and Legacy Networks Using the Chaotic Whale Optimization Algorithm," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 3, pp. 43-60, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I3P104

Abstract:

The evolution of Fifth-Generation (5G) mobile communication technology has made seamless connectivity a critical requirement for users. Ensuring uninterrupted service while maintaining superior Quality of Service (QoS) across various network technologies is paramount. Users often seek continuous connections to nearby networks that offer optimal performance. To facilitate this, effective decision-making strategies are required to determine whether to initiate the handover process or maintain the current connection. Artificial Intelligence (AI) techniques have gained significant attention for their ability to enhance decision-making in heterogeneous networks by addressing challenges associated with large-scale frameworks. In this paper, we apply the Chaotic Whale Optimization Algorithm (CWOA), a nature-inspired meta-heuristic technique, to optimize the handover process across multiple network technologies, including Wi-Fi, WiMAX, UMTS, LTE-A, and 5G New Radio. Our results demonstrate a comparative analysis of these technologies in terms of key performance metrics, such as Received Signal Strength (RSS), Signal-to-Noise Ratio (SNR), delay, throughput, and average power consumption, all measured against distance. The findings indicate that 5G New Radio outperforms other technologies in most metrics, providing superior QoS during handover, especially when optimized using CWOA.

Keywords:

Chaotic Whale Optimization, Fifth Generation wireless networks, Handover/Handoff, LTE-A, Nature inspired meta-heuristics.

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