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E-grāmata: Advanced Metaverse Wireless Communication Systems

Edited by (University of Maryland Baltimore County (UMBC), Department of Information System), Edited by (Johns Hopkins University, Baltimore, USA), Edited by (University of Lagos, Department of Electrical and Electronics Engineering, Faculty of Engineering, Nigeria)
  • Formāts: EPUB+DRM
  • Sērija : Telecommunications
  • Izdošanas datums: 13-Jan-2025
  • Izdevniecība: Institution of Engineering and Technology
  • Valoda: eng
  • ISBN-13: 9781839539084
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Advanced Metaverse Wireless Communication SystemsPalielināt
  • Formāts: EPUB+DRM
  • Sērija : Telecommunications
  • Izdošanas datums: 13-Jan-2025
  • Izdevniecība: Institution of Engineering and Technology
  • Valoda: eng
  • ISBN-13: 9781839539084
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Billions of wireless applications are proliferating in the global space. The novel wireless systems to support these applications need to satisfy several user-defined metrics to ensure quality of physical experience, quality of service, low latency and ultra-high reliability. Enabling technologies are being developed in order to meet these rate-hungry requirements.

Managing these complex wireless and computing resources requires a proactive analysis of the core wireless systems, especially in the metaverse, which is a virtual model of the physical world systems. The metaverse concept is intended to be self-sustainable and facilitates the seamless operation of wireless systems at minimal operational costs for the efficient management of wireless system resources. It is gaining widespread popularity using technologies such as advanced optimization theory, digital twins, virtual reality, machine learning, and blockchain.

This book presents a comprehensive overview of advanced metaverse wireless communication systems. The authors highlight the technology enablers and critical design aspects, emphasize how the metaverse can support wireless systems but also show how wireless systems can empower the metaverse. They address critical concerns covering theoretical analysis, novel system architecture design and new implementation methodologies, emerging application scenarios, experimental frameworks, and reliability, security, privacy, technical, and ethical considerations, viable solutions, as well as open challenges, the social impacts of the metaverse concept and future perspectives.

Offering a range of international perspectives from researchers in the field, this book is intended for researchers from academia and industry, and scientists, engineers, lecturers and advanced students in the fields of wireless and mobile communications, networking, computing, data science, AI/ML/DL, multimedia, haptics, sensing, CPS and immersive technologies.



A comprehensive overview of advanced metaverse wireless communication systems including theoretical analysis, technology enablers, novel system architecture design, new implementation methodologies, emerging application scenarios, experimental frameworks, as well as reliability, security, and privacy.

  • Preface
  • Chapter 1: Advanced Wireless Communication Techniques and the Metaverse
  • Chapter 2: Key Enablers of Metaverse Wireless Communication
  • Chapter 3: Enhancing Machine Learning Accuracy in the Metaverse: Overcoming Noise and Error in Object Counting Systems
  • Chapter 4: Communication-Control Co-design for Closed-loop Metaverse
  • Chapter 5: Location-based Real-time Utilization of Reconfigurable Intelligent Surfaces for mmWave Integrated Communication and Sensing in Full-Immersive Multiuser Metaverse Scenarios
  • Chapter 6: Preamble Parallelization-based Random Access Management for Heterogeneous IoT System in Metaverse
  • Chapter 7: Scalable Metaverse-based Wireless Ecosystem: Networked Economic Valuations
  • Chapter 8: Towards a Secure Metaverse: Crafting Cutting-Edge Algorithm for Protected Data Analysis
  • Chapter 9: Exploring Zero-Knowledge Proofs in the Metaverse: Applications and Challenges
  • Chapter 10: Blockchain Applications in Metaverse Environments: New Horizons
  • Chapter 11: Blockchain-based Security and Privacy Solutions for Metaverse-assisted Wireless Communication Systems
  • Chapter 12: Federated Learning for the Metaverse: Leveraging Artificial Intelligence for Enhanced Data Privacy and Efficiency
  • Chapter 13: Advancing Metaverse Security with Cryptographic Innovations
  • Chapter 14: Cryptography in the Metaverse: Advanced Protocols for Secure Communication
  • Chapter 15: Differentially Private Human Interactions for the Real World and the Metaverse
  • Chapter 16: Transforming Ageing in the Metaverse: Embracing Virtual Communities for Enhanced Well-being and Empowerment
  • Chapter 17: Wireless Tools for Neuromarketing and Neuromanagement in the Metaverse
  • Chapter 18: Legal Perspectives of the International Scientific Sandbox Metaverse Technologies and Foresights for Digital Transformation
  • Chapter 19: Societal Impacts of Advanced Metaverse Wireless Communication Systems
  • Chapter 20: Advanced Metaverse Wireless Communications: Future Perspectives and Research Directions
Agbotiname Lucky Imoize is a lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. His research interests cover the fields of 6G wireless communication, wireless security systems, and artificial intelligence. He is a Fulbright research fellow, the vice chair of the IEEE Communication Society Nigeria chapter, and a registered engineer with the Council for the Regulation of Engineering in Nigeria. He is a senior member of IEEE.



Webert Montlouis is a chief scientist with the Johns Hopkins University, Baltimore, USA, where he shares his time between the Applied Physics Laboratory (APL) and the Electrical and Computer Engineering department. His research interests are in the areas of communications, adaptive signal processing, robust tracking and localization, algorithm development, system-on-chip implementation of DSP algorithms, networking and antenna array signal processing. He is a Fellow of IEEE.



Houbing Herbert Song is a professor in the Department of Information Systems and the director of the Security and Optimization for Networked Globe Laboratory (SONG Lab) at the University of Maryland, Baltimore County (UMBC), USA. His research interests include cyber-physical systems and internet of things, cybersecurity and privacy, AI, machine learning and big data analytics. He is an ACM distinguished member, and a fellow of IEEE.
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