Indoor wireless connectivity has become a critical component of modern communications infrastructure, driven by increasing user expectations, 5G deployment, and the digitisation of enterprise, transport, healthcare, and public safety environments. 

However, achieving reliable, high-performance indoor coverage remains technically and operationally complex due to signal attenuation, building materials, interference, and multi-operator requirements.
Distributed Antenna Systems (DAS) provide a proven and scalable solution to these challenges, enabling enhanced indoor coverage, capacity, and service quality across a wide range of environments.

This course provides a structured and practical understanding of Indoor DAS systems, covering the full lifecycle from design principles and system architectures through to evaluation, measurement, optimisation, and modernisation. It combines theoretical grounding with real-world engineering considerations, enabling participants to confidently assess, improve, and manage DAS deployments.

The programme is applicable across 4G and 5G environments, with consideration of neutral host models, digital DAS evolution, and enterprise/private network integration.

Course Modules

• Introduction to Indoor DAS
  
• DAS Schematics and System Design
  
• Evaluating Existing DAS Deployments
  
• Measuring DAS Performance
  
• DAS Optimisation Techniques
  
• Modernisation and Reporting

Learning Outcomes

Participants completing this course will be able to:

• Confidently assess iDAS deployments from both technical and operational perspectives
  
• Identify performance issues such as imbalance, interference, and uplink noise
  
• Apply practical optimisation techniques to improve user experience and network KPIs
  
• Interpret measurement data and heatmaps to support decision-making
  
• Engage effectively with vendors and integrators using correct technical language
  
• Support investment and upgrade decisions, including migration to digital DAS
  
• Improve delivery quality and reduce rework in iDAS projects