The field of edge computing is advancing quickly, with new algorithms, architectures, and use cases emerging regularly. Intelligent mobile edge computing includes various domains--such as IoT, AI, and telecommunications--making it essential to provide a holistic view that bridges these areas for researchers and practitioners. There is a growing need for practical insights and case studies that illustrate how mobile edge computing can be effectively implemented in industries like healthcare, smart cities, and manufacturing. This book aims to tackle real-world challenges, offering strategies for deployment, network structure, resource optimization, beamforming, and so on.

This book explores the potential of mobile edge computing in wireless intelligent and sensing environments. This comprehensive guide delves into cutting-edge technologies that enable computing resource optimization and decision-making at the edge or cloud, reducing latency and bandwidth consumption. It provides a comprehensive and accessible resource that addresses the rapidly mobile edge computing related technologies. As the demand for real-time data processing and low-latency applications grows for future 6G wireless communications, this book can help readers to understand the implications, challenges, and opportunities presented by these innovations.