a presentation PDF
Welcome to Satellite-based Non-Terrestrial Network (NTN) in 5G
Mar 18, 2026 : 3pm - 4pm Sydney Time
Mar 18, 2026 : 2pm - 3pm UK Time (London)
Mar 18, 2026 : 11am - 12pm CDT (Dallas Time)
Non-Terrestrial Networks (NTN), introduced in 5G Release 17, utilize satellite infrastructure to deliver 5G services over sea and land where terrestrial coverage is unavailable. After attending, you will be able to:
- Explain what NTNs are and their necessity
- Identify critical use cases and their real-world requirements
- Describe the architecture of NTNs
- Explore options for satellite beams
- Summarize key deployment considerations
Evolving 5G RAN to an AI-RAN
Apr 16, 2026 : 3pm - 4pm Sydney Time
Apr 16, 2026 : 2pm - 3pm UK Time (London)
Apr 16, 2026 : 11am - 12pm CDT (Dallas Time)
5G RAN is complex, delivering extreme high data rates in Gbps and extreme low latency of 1ms by utilizing low, mid, and high band spectrum. With advances in hardware (compute power, storage) and software (automation and AI), it’s a natural progression to incorporate Automation and AI concepts for energy-efficient and autonomous RAN. AI-RAN uses machine learning to optimize resource utilization, predict network congestion, reduce energy consumption, provide self-healing capabilities, etc. After attending, you will be able to:
- Identify the challenges current 5G RAN faces
- List the opportunities AI brings for closed loop automation in 5G RAN
- Identify key features and capabilities provided by AI-RAN to make it 6G ready
- Identify key challenges and considerations in the evolving path to AI-RAN
AI Agents in Telecom Networks
May 20, 2026 : 3pm - 4pm Sydney Time
May 20, 2026 : 2pm - 3pm UK Time (London)
May 20, 2026 : 11am - 12pm CDT (Dallas Time)
AI Agents in Telecom Networks leverage artificial intelligence to enhance network operations and management within telecommunications systems. These agents utilize machine learning algorithms to optimize network performance, predict and mitigate issues, and improve customer service through automation and personalization. By integrating AI agents, telecom networks can support advanced applications such as real-time analytics, proactive maintenance, and dynamic resource allocation. This integration addresses challenges like scalability, security, and interoperability, driving innovation and efficiency in modern telecom networks.
- Define and describe the role of AI agents in telecom networks
- Explain how AI agents optimize network performance and predict issues
- Identify various applications of AI agents, such as real-time analytics and proactive maintenance
- Describe the challenges and benefits of integrating AI agents in telecom networks