Fuhui Zhou – författare

The rapid evolution of 6G networks demands communication systems that go beyond data transmission toward intelligent understanding. Semantic communication (SemCom) represents a paradigm shift from transmitting bits to transmitting meaning. By integrating artificial intelligence, knowledge graphs, and reasoning capabilities, cognitive SemCom further enables networks to infer, interpret, and deliver only task-relevant information, thereby achieving higher efficiency, robustness, and explainability than classical SemCom architectures.This book provides a comprehensive overview of cognitive SemCom, from fundamental theories to practical implementations. It explores how structured knowledge can be used for semantic encoding, reasoning, compression, and robust signal recovery under interference, model mismatch, and adversarial attacks. Core topics include UAV-enabled cognitive SemCom systems, multi-user and multi-modal resource allocation, and cross-layer semantic security. The book also demonstrates how semantic communication can support low-latency, energy-efficient, and intelligence-native 6G systems.Designed for researchers, engineers, and graduate students in wireless communications, signal processing, and artificial intelligence, this book bridges communication theory with machine intelligence. Readers will gain a deep understanding of how cognitive abilities transform communication from symbol transmission to meaning exchange, and how these innovations enable future intelligent networks.

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.