Age-of-Computing Constrained Fairness-aware Energy Efficient Resource Allocation in MEC-assisted HSRNs

Key Points

• The central aim is to explore energy-efficient resource allocation while ensuring fairness in MEC-assisted high-speed rail networks.
• Utilized a computing constrained algorithm for resource allocation.
• Focused on energy efficiency and fairness metrics in resource distribution.
• Analyzed the performance impact on high-speed rail network operations.
• Achieved a significant reduction in energy consumption during resource allocation.
• Improved fairness levels among users in resource access.
• Enhanced overall efficiency of the MEC-assisted system.