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

Introduction to 6G: Vision and Key Drivers

• Historical perspective: tracing the evolution from 1G to 6G and identifying critical turning points
• Strategic imperatives: addressing latency, capacity, reliability, and the integration of pervasive AI
• High-level development timeline and key industry stakeholders

From 5G to 6G: Key Differences and Evolution

• Addressing the limitations of 5G through 6G advancements
• The transition to AI-native networks and distributed intelligence
• Fusing sensing, communication, and control functions

Enabling Technologies

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

Spectrum, Standards, and Policy Considerations

• 6G spectrum requirements and the complexities of international coordination
• The roles of standards bodies, research initiatives, and public–private partnerships
• Regulatory impacts concerning privacy, coexistence, and safety

Architectures and Cloud-Native Network Design

• Managing the edge, fog, and cloud continuum for 6G services
• Leveraging service-based architectures, network slicing, and programmable infrastructure
• Ensuring interoperability with legacy systems and multi-cloud environments

Use Cases and Industry Verticals

• Extended reality (XR), holographic communications, and immersive collaboration
• Industry 4.0, digital twins, and the tactile internet in manufacturing
• Autonomous systems, V2X technologies, and mission-critical mobility
• Applications in smart cities, healthcare, and environmental sensing

Security, Privacy, and Ethical Considerations

• Threat modeling for ultra-connected systems and managing supply-chain risks
• Data governance, privacy-preserving communication techniques, and trust frameworks
• Ethical and societal impacts of pervasive sensing and AI deployment

Deployment Challenges and Business Impact

• Strategic infrastructure investment, business models, and total cost of ownership
• Addressing interoperability, vendor ecosystems, and mitigating vendor lock-in risks
• Developing necessary skills, organizational readiness, and change management strategies

Workshop: Organizational 6G Readiness and Roadmap

• Identifying priority use cases and viable pilot opportunities
• Evaluating gaps in infrastructure, workforce skills, and data readiness
• Drafting a 6–18 month pilot plan and stakeholder engagement strategy

Summary and Next Steps