Optimizing Cognitive Radio Networks for Spectrum Efficiency, Power Consumption, and Human Exposure

A novel cloud-based architecture and multi-objective optimization algorithm for cognitive radio networks that reduces power consumption by 27.5%, global exposure by 34.3%, and spectrum usage by 34.5% compared to traditional cognitive radio networks.