Course Overview
This course provides a comprehensive and practical understanding of 5G technologies, encompassing cellular network fundamentals, advanced network architectures, enabling standards, and hands-on implementation using open-source platforms and hardware. It also highlights future directions with AI and cloud technologies, preparing learners for cutting-edge roles in mobile communications and related industries.
Learning Outcomes
- Demonstrate mastery of cellular network fundamentals and 5G network architecture.
- Apply 5G standards and theory to design, deploy, and manage modern mobile systems.
- Execute hands-on tasks using open-source 5G platforms and hardware integrations.
- Analyze future technology trends and integrate AI, ML, and cloud concepts in mobile networks.
- Present solutions to real-world case studies in 5G, IoT, and V2X scenarios.
Number of hours
100 hours of instruction and hands-on learning
Eligiblity
Graduate students and working professionals are eligible
Modules
and Description:
5G Foundation
- Covers fundamentals of cellular communications from 2G to 5G, cellular architecture, and spectrum management.
- Focuses on the structure, planning, and concepts behind mobile communication networks.
- Introduces packet data networks, frequency reuse, and cellular network evolution.
5G Network Architecture and Standards
- Explores key components and interfaces of 5G networks, including RAN, Core, SA, NSA, and network slicing.
- Reviews global standards (3GPP), principles of split architecture, and physical/access layers.
- Discusses deployment models, design elements, and network management fundamentals.
5G Physical and Access Layers
- Details PHY and MAC layer design, including numerology, resource blocks, and frame/slot structures.
- Explains scheduler algorithms, modulation techniques, coding schemes, and CODECs in 5G systems.
- Delves into radio resource control, transmission modes, and digital modulation fundamentals.
Practical 5G Implementation
- Focuses on open-source 5G/4G systems such as OAI RAN and SRS-RAN, with hands-on configuration.
- Demonstrates hardware integration using SDR, RFSIM, and B210/X310 systems and MAC-PHY operations.
- Involves code-level hands-on sessions and throughput measurement with various modulation schemes.
Future Mobile Communications
- Covers the role of AI/ML models in network management and future concepts like RIS and reconfigurable surfaces.
- Discusses research trends and limitations in next-generation networks and advanced mobile applications.
- Includes guest lectures and integration demonstrations for FR1/FR2, V2X, and VLC systems.