Sarcouncil Journal of Applied Sciences Aims & Scope

Abstract: The integration of Generative Artificial Intelligence (AI) and cloud solutions is revolutionizing the optimization of 5G operations and the enhancement of digital customer interfaces. This study explores the synergistic potential of these technologies, focusing on their impact on network efficiency, scalability, cost-effectiveness, and user experience. Through a mixed-methods approach, including data collection, model development, experimentation, and statistical analysis, the research evaluates the performance of Generative AI models such as GANs, VAEs, and Transformer models in optimizing 5G networks. The results, as detailed in six comprehensive tables, demonstrate that Transformer models achieve the highest accuracy (94.2%) and F1-score (0.94), significantly improving resource allocation, traffic prediction, and security protocols. Cloud platforms, particularly Google Cloud, are shown to enhance scalability, achieving low latency (11.8 ms) and high throughput (10.2 Gbps), while offering superior cost efficiency ($0.14/GB) compared to on-premise solutions. Furthermore, Generative AI-powered digital interfaces, including AI chatbots and AR/VR applications, significantly improve user experience metrics, with AR/VR applications achieving a 92.3% task completion rate and a 9.2/10 satisfaction score. Statistical analyses validate the significant impact of these technologies, with network efficiency improving by 91.2% (p < 0.002) and personalization levels strongly influencing customer satisfaction (R² = 0.82). The study highlights the economic and operational benefits of adopting Generative AI and cloud solutions, while also addressing challenges such as data privacy, security, and ethical considerations. These findings provide actionable insights for businesses and researchers, emphasizing the transformative potential of these technologies in driving innovation and creating value in the 5G era