Introduction to 6G and the Future of Wireless Networks Training Course

Introduction to 6G: Vision and Driving Forces

• Historical perspective: tracing the path from 1G to 6G and identifying critical milestones
• Strategic impetus: focusing on latency, capacity, reliability, and ubiquitous AI
• Overview of the development timeline and key stakeholders

Transitioning from 5G to 6G: Evolution and Key Distinctions

• Addressing the limitations of 5G that 6G seeks to overcome
• Embracing AI-native networks and distributed intelligence models
• Converging sensing, communication, and control functions

Foundational Technologies

• Terahertz (THz) communications and associated propagation challenges
• Reconfigurable Intelligent Surfaces (RIS) and sophisticated antenna systems
• Advancements in Massive MIMO, full-duplex radios, and photonics integration
• Network AI, distributed learning, and intent-based network orchestration

Spectrum, Standards, and Policy Landscape

• 6G spectrum requirements and issues of international coordination
• Roles of standards bodies, research initiatives, and public–private partnerships
• Regulatory considerations regarding privacy, spectrum coexistence, and safety

Architectures and Cloud-Native Network Design

• The edge, fog, and cloud continuum supporting 6G services
• Service-based architectures, network slicing, and programmable infrastructure
• Ensuring interoperability with legacy systems and multi-cloud environments

Use Cases and Industry Sectors

• Extended reality (XR), holographic communications, and immersive collaboration
• Industry 4.0, digital twins, and the tactile internet in manufacturing
• Autonomous systems, V2X, and mission-critical mobility solutions
• Smart city initiatives, healthcare, and environmental sensing applications

Security, Privacy, and Ethical Dimensions

• Threat models for hyper-connected systems and supply-chain vulnerabilities
• Data governance, privacy-preserving communication methods, and trust frameworks
• Ethical and societal impacts of widespread sensing and AI

Deployment Hurdles and Business Implications

• Infrastructure investment, business model innovation, and total cost of ownership
• Interoperability concerns, vendor ecosystems, and mitigating vendor lock-in risks
• Workforce skills, organizational readiness, and change management strategies

Workshop: Organizational 6G Readiness and Strategic Roadmap

• Pinpointing priority use cases and pilot opportunities
• Evaluating gaps in infrastructure, skills, and data preparedness
• Formulating a 6–18 month pilot plan and stakeholder engagement strategy

Conclusion and Future Pathways