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

Introduction to 6G: Vision and Drivers

• Historical perspective: tracing the evolution from 1G to 6G and significant inflection points
• Strategic drivers: focusing on latency, capacity, reliability, and pervasive AI
• Overview of the development timeline and key stakeholders

From 5G to 6G: Key Differences and Evolution

• Addressing the limitations of 5G through 6G advancements
• The transition towards AI-native networks and distributed intelligence
• Unifying sensing, communication, and control systems

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

• Spectrum requirements for 6G and the complexities of international coordination
• The roles of standards bodies, research initiatives, and public-private collaboration
• Regulatory impacts concerning privacy, 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 Verticals

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

Security, Privacy, and Ethical Considerations

• Threat models for ultra-connected ecosystems and supply-chain vulnerabilities
• Data governance, privacy-preserving communications, and trust frameworks
• Ethical and societal impacts of widespread sensing and AI deployment

Deployment Challenges and Business Impact

• Infrastructure investment, business model innovation, and total cost of ownership
• Navigating interoperability, vendor ecosystems, and lock-in risks
• Building skills, organisational readiness, and effective change management

Workshop: Organisational 6G Readiness and Roadmap

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

Summary and Next Steps