| Abstrakt: |
This paper evaluates various user association strategies in heterogeneous networks (HetNets) as user density increases from 5 to 50. Through Monte Carlo simulations, seven distinct strategies are analyzed based on key performance metrics: Sum Rate, Energy Efficiency (EE), Spectral Efficiency (SE), and Outage Probability. The research explores multiple association criteria, including Multi-Attribute Decision Making (MADM), maximum Rate, EE, SE, Signal-to-Interference-plus-Noise Ratio (SINR), Signal-to-Noise Ratio (SNR), and minimum distance. Results indicate that different strategies excel in specific performance areas. The Sum Rate and EE strategies consistently outperform others in maximizing network throughput, particularly in high-density scenarios. For Energy Efficiency, the minimum distance and Rate strategies are most effective, with EE close behind. The minimum distance strategy also excels in achieving high Spectral Efficiency. In terms of Outage Probability, the minimum distance approach demonstrates the lowest values, followed by EE, indicating their reliability in maintaining performance as networks scale. This study highlights the critical importance of selecting appropriate association strategies to meet specific network objectives and operating conditions in HetNets. [ABSTRACT FROM AUTHOR] |
