Blockchain-Enabled5GEdge Networks and Beyond:AnIntelligent Cross-Silo Federated Learning Approach

Edge networks (ENs) in 5G have the capability to protect traffic between edge entry points (edge-to-edge), enabling the design of
various flexible and customizable applications. )e advantage of edge networks is their pioneering integration of other prominent
technologies such as blockchain and federated learning (FL) to produce better services on wireless networks. In this paper, we
propose an intelligent system integrating blockchain technologies, 5G ENs, and FL to create an efficient and secure framework for
transactions. FL enables user equipment (UE) to train the artificial intelligence model without exposing the UE’s valuable data to
the public, or to the model providers. Furthermore, the blockchain is an immutable data approach that can be leveraged for FL
across 5G ENs and beyond. )e recorded transactions cannot be altered maliciously, and they remain unchanged by design. We
further propose a dynamic authentication protocol for UE to interact with a diverse base station. We apply blockchain as a reward
mechanism in FL to enable computational offloading in wireless networks. Additionally, we implement and investigate blockchain
technology for FL in 5G UE.