The Evolution Of Mobile Edge Intelligence: Exploring The Synergy Of AI, Edge Computing, And 5G Networks

Abstract

The evolution of Mobile Edge Intelligence (MEI) presents a paradigm shift in the landscape of wireless networking, driven by the convergence of artificial intelligence (AI), edge computing, and 5G networks. This paper explores the synergy of these components and their collective impact on shaping the future of mobile edge intelligence. Through a comprehensive literature survey, data analysis, and visualization, we investigate the importance of AI, Edge Computing, and 5G Networks in MEI, highlighting their relative significance and contributions. Additionally, we analyze the evolution of AI performance, edge latency, and 5G network speed over time, illustrating the advancements in each component and their implications for mobile edge intelligence applications. Furthermore, we examine the implementation scores of AI-Edge-5G in various use cases, demonstrating the diverse applications and transformative potential of these technologies across different domains. Moreover, we present a research roadmap of Edge Intelligence, outlining the key stages and completion percentages in the research process. Finally, we evaluate the effectiveness of model compression techniques in optimizing model performance in Mobile Edge Intelligence scenarios. Overall, this paper provides valuable insights into the evolution and synergy of AI, Edge Computing, and 5G Networks in Mobile Edge Intelligence, informing future research directions and practical implementations in the field.