ABSTRACT
This research explores a pioneering approach to enhance 5G mobile broadband within smart city environments through the integration of deep learning and blockchain technologies. Leveraging deep learning models, the system dynamically adapts to varying network conditions, optimizing latency, throughput, and reliability. The integration of blockchain fortifies security and privacy, establishing a decentralized and tamper-resistant layer. Empirical results demonstrate significant improvements in network performance. Challenges, including computational overhead and scalability, are acknowledged. Despite these, the findings offer a promising blueprint for revolutionizing 5G networks in smart cities. This research contributes to the discourse on the transformative potential of innovative technologies in optimizing mobile broadband, paving the way for future advancements in smart city communication networks.
