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 key milestones
• Strategic imperatives: addressing latency, capacity, reliability, and embedded AI
• High-level development timeline and key stakeholders

From 5G to 6G: Evolution and Key Distinctions

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

Core Enabling Technologies

• Terahertz (THz) communication systems and associated propagation hurdles
• Reconfigurable Intelligent Surfaces (RIS) and advanced antenna arrays
• 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 international coordination challenges
• The role of standards bodies, research initiatives, and public-private partnerships
• Regulatory considerations regarding privacy, spectral coexistence, and safety

Architectures and Cloud-Native Design

• The continuum of edge, fog, and cloud computing for 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 collaboration tools
• Industry 4.0 integration, digital twins, and tactile internet for manufacturing
• Autonomous systems, V2X communication, and mission-critical mobility solutions
• Smart city initiatives, advanced healthcare, and environmental monitoring

Security, Privacy, and Ethical Dimensions

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

Deployment Challenges and Business Impact

• Infrastructure investment strategies, business models, and ownership costs
• Managing interoperability, vendor ecosystems, and lock-in risks
• Building skill sets, organizational readiness, and change management

Workshop: Organizational 6G Readiness and Roadmap

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

Summary and Recommended Next Steps