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

Introduction to 6G: Vision and Driving Forces

• Historical perspective: Tracing the evolution from 1G to 6G and identifying key milestones
• Strategic motivators: Focus on latency, capacity, reliability, and widespread AI integration
• High-level development timeline and key stakeholders

Evolution from 5G to 6G: Key Distinctions

• Addressing the limitations of 5G that 6G seeks to resolve
• The transition towards AI-native networks and distributed intelligence
• Synthesizing sensing, communication, and control functions

Key Enabling 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-driven orchestration

Spectrum, Standards, and Policy Frameworks

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

Architectures and Cloud-Native Network Design

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

Use Cases and Industry Applications

• Extended reality (XR), holographic communications, and immersive teamwork
• Industry 4.0, digital twins, and the tactile internet in manufacturing
• Autonomous systems, V2X, and critical mobility applications
• Smart cities, healthcare solutions, and environmental monitoring

Security, Privacy, and Ethical Implications

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

Deployment Challenges and Business Impact

• Infrastructure investments, business models, and total cost of ownership
• Interoperability standards, vendor ecosystems, and the risk of vendor lock-in
• Workforce skills, organizational preparedness, and change management

Workshop: Organizational 6G Readiness and Roadmapping

• Identifying priority use cases and potential pilot projects
• Evaluating gaps in infrastructure, skills, and data preparation
• Creating a 6–18 month pilot and stakeholder engagement strategy

Summary and Next Steps