Data-centric AI: Integrated Computation and Communications for Extended Reality

von Conghao Zhou, Jie Gao, Xuemin Shen

174 Seiten, Hardcover

Kurzbeschreibung des Verlags

This book explores how integrated computation and communication can be achieved to support scalable and user-centric Extended Reality (XR) service provisions. Leveraging the digital twin technique as a key enabler, this book aims to introduce a novel data-centric AI framework to support XR from the perspective of communication and networking. Specifically, the authors present architectural designs and algorithmic solutions of data-centric AI that support the cross-layer and intelligent collection, processing, and analysis of XR user data, thereby enabling user-centric service provision. The book presents a digital twin-based framework that encompasses conceptual architecture, workflow, and operation functions to support diverse XR modules involving both communication and computation. In addition, the book explores the role of data-centric AI in XR resource provisioning, with a particular focus on how data-centric AI enhances both the quality and quantity of data available for AI model training and decision-making. Various learning paradigms, including supervised learning and reinforcement learning, are examined to demonstrate how AI enhances the efficiency and adaptability of resource management

• Reihe: Wireless Networks
• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Elektronik, Nachrichtentechnik Nachrichtententechnik, Telekommunikation
• ISBN: 9783032274861
• Sprache: Englisch
• Erscheinungsdatum: 28.10.2026
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing