Apply AI to optimize future telecommunications networks and strengthen cybersecurity defenses
As telecommunications infrastructure grows increasingly complex with 5G, 6G, and Metaverse applications, engineers require systematic approaches to network QoS and security. This book delivers comprehensive coverage of AI-driven innovations in spectrum management, network automation, metaverse cybersecurity and QoS optimization for immersive digital experiences across emerging platforms and ecosystems.
This reference examines machine learning algorithms for supervised and unsupervised learning applications in predictive analytics, anomaly detection, and network optimization. Coverage includes deterministic networking, Time-Sensitive Networks, and energy-efficiency considerations for 6G networks. The book integrates ITU standards and frameworks while addressing cybersecurity challenges such as securing digital identities, protecting virtual economies, and mitigating AI-driven ecosystem risks.
Readers will also find:
- Detailed coverage of Quality of Service paradigms and performance metrics across emerging digital ecosystems including extended reality (XR) and cloud computing
- Analysis of key technologies driving Metaverse evolution with insights directly integrated from current ITU standards and established frameworks
- Machine learning implementation strategies for network optimization including practical applications in predictive maintenance and automated anomaly detection systems
- Cybersecurity frameworks addressing digital identity protection, virtual economy security, and risk mitigation strategies for AI-driven telecommunications ecosystems
- Technical foundations spanning broadband internet, IoT integration, 5G and 6G architectures, and their convergence with artificial intelligence capabilities
This book is suitable for researchers and graduate students in telecommunications and information engineering, governments and telecom/ICT regulators, professionals in telecom operators and ICT industry, providing authoritative coverage of AI applications in networks and systems, frameworks for intelligent network solutions and addressing emerging security and QoS challenges for immersive metaverse services in future Internet and telecom networks.
Toni Janevski, PhD, is a Full Professor in Telecommunications at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, Macedonia. He established and led the ITU Centre of Excellence at FEEIT from 2009 to 2022, and has been a member of ITU group on capacity building initiatives from 2019 to 2026, demonstrating sustained leadership in international telecommunications standards and education. He has published multiple books, numerous research papers, and has tutored and coordinated many ITU international courses through the ITU Academy. His expertise spans Internet technologies, mobile and wireless networks, QoS/QoE and network design, AI applications, and future networks and services.
