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This is a Quantitative Study study.

An Energy-Efficient Multi-Objective Optimization Framework for QoS-Aware Resource Allocation in 5G Slicing Networks

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The framework demonstrates 75.8% resource utilization, significantly enhancing network performance and efficiency.
Simulation results indicate a system utility of 1866.0, optimizing quality of service (QoS) across diverse scenarios.
Hybrid methods like particle swarm optimization and genetic algorithms effectively manage resources and reduce energy consumption.
The approach highlights how dynamic environments can still achieve energy efficiency and QoS objectives in 5G slicing networks.

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This framework improves resource allocation and QoS in 5G networks, highlighting energy efficiency gains.

Li et al. (2025) studied this question.

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