OFDMA Resource Allocation Simulations: A Low-Complexity Algorithm for Proportional Fairness

This research presents comprehensive simulations for OFDMA (Orthogonal Frequency Division Multiple Access) resource allocation. We developed and evaluated a low-complexity algorithm designed specifically for proportional fairness distribution among users. The core algorithm implementation focuses on optimizing subcarrier and power allocation while maintaining computational efficiency. Key components include user priority calculation based on proportional fairness metrics, dynamic resource block assignment, and adaptive power control mechanisms. The simulation results demonstrate that our algorithm achieves efficient resource allocation with high performance, significantly contributing to OFDMA system optimization. The study emphasizes the critical importance of resource allocation in communication systems, as it directly impacts communication efficiency and user experience. Our approach presents a novel solution to resource allocation challenges in OFDMA systems, featuring optimized computational complexity suitable for real-time implementations. The algorithm employs iterative optimization techniques and fairness constraints to balance system throughput and user equity. Research findings provide valuable insights for future communication system design and optimization. Further development and implementation are expected to yield additional performance enhancements. This work represents a significant contribution to advancing communication technologies, particularly in the areas of wireless resource management and 5G/6G system optimization. The proposed methodology includes comprehensive performance metrics evaluation and comparative analysis with existing allocation schemes.