Optimizing Femtocell Networks: A Novel Game Theory Based Power Management Model for Enhanced SINR and Energy Efficiency

Abstract

This research presents a novel game theory based model for femtocell power management, engineered to significantly enhance the Signal-to-Interference-plus-Noise Ratio (SINR) while optimizing energy consumption across wireless communication networks. Femtocells, as a solution to the increasing demand for high-quality indoor network coverage, face challenges in power management and interference mitigation. Our proposed model addresses these issues, providing a sophisticated algorithmic approach that ensures high SINR levels without a proportional increase in power usage. Through a series of simulations, the model’s performance was evaluated against existing power management techniques. The results, delineated across several tables, revealed that the proposed model consistently achieved and often surpassed targeted SINR levels with modest power consumption increments, even at high targets. Notably, at a SINR target of 20, the model sustained a high SINR of 23.62 while maintaining a reasonable energy profile. Additionally, the model exhibited exceptional operational efficiency, characterized by low execution times and rapid convergence rates, across varying network conditions. This responsiveness is essential for adapting to user mobility and varying traffic patterns, particularly in dense urban settings and during peak usage periods.

Keywords

• Femtocell power management
• game theory in wireless networks
• signal-to-interference-plus-noise ratio (SINR) optimization
• interference mitigation techniques
• energy-efficient wireless communication