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Abstract
In the age of 5G, seamless mobility handovers are vital, especially in densely populated areas like Malaysia, to prevent disruptions and resource inefficiencies. A proposed solution involves a Digital Twin Network mirroring Malaysia's 5G infrastructure, integrating real-time data and user behaviors to optimize energy consumption during handovers. Emphasis is placed on energy-efficient protocols and algorithms to enhance network performance. The research follows the format of Systematic Literature Review (SLR). The algorithms predict and manage handovers proactively, enabling adaptive resource allocation for improved efficiency. The Digital Twin Network aims to significantly enhance mobility handover efficiency through predictive handovers and adaptive resource allocation, supported by energy-efficient protocols and edge computing for sustainability. This research offers a tailored solution to Malaysia's 5G mobility handover challenges, promising seamless connectivity and sustainability. It introduces a customized Digital Twin Network focusing on energy efficiency, evaluated against practical applications in information retrieval. Evaluation standards gauge effectiveness, supplemented by in-depth analysis of methods and performance metrics, concluding with insights, limitations, and recommendations for future research.
Published Version
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