With the advancement of technology and the growing demand for high-quality communication services, resource management in 5G mobile networks has gained significant importance. One of the primary challenges in this domain is the optimal allocation of resources to enhance service quality and network profitability. This study presents an approach to intelligent resource allocation in 5G networks, focusing on user prioritization based on profitability and environmental conditions. The proposed approach includes two methods: weight-based resource allocation and exclusion-priority allocation. This research demonstrates that intelligent resource management not only benefits networks economically but also leads to technical improvements in service quality and user satisfaction. Additionally, increased network profitability facilitates infrastructure improvements and service upgrades, ultimately enhancing the competitive position of operators in the market. This is especially crucial as 5G networks are emerging as a key infrastructure for future development. To eva‎luate the effectiveness of these methods, simulations were conducted in three different scenarios: urban macro, urban micro, and rural macro environments. The simulation results indicate that the proposed approaches lead to an average increase of 10.87%in network profitability across all scenarios. Specifically, in rural macro environments, this increase reached 13.3%, while in urban micro and urban macro environments, the profitability improvements were 12.52% and 6.78%, respectively.

مسعودرضا هاشمي , زينب زالي

محمدرضا حيدرپور , علي فانيان