Background: A regional healthcare provider recently deployed a new wireless network across a 5-story hospital wing based entirely on a predictive site survey.
Current Situation: Shortly after go-live, nursing staff reported frequent disconnects of their Wi-Fi-enabled VoIP badges, particularly when moving between the intensive care unit (ICU) and the radiology department.
Constraints & Analysis: A post-deployment Layer 1 and Layer 2 active survey was conducted. The survey revealed that the predictive model assumed standard drywall (3 dB attenuation) for all interior walls. However, the walls surrounding the radiology department are lead-lined, and the ICU contains extensive metal medical equipment. The post-deployment survey showed an RSSI of -82 dBm at the roaming boundaries, whereas the predictive model estimated -65 dBm.
Based on the analysis, what is the most critical failure in the initial design phase, and what is the optimal remediation strategy?
flowchart LR
A[Predictive Survey] -->|Assumed 3dB Drywall| B(Estimated Cell Size: Large)
C[Actual Environment] -->|Lead-Lined Walls - very high loss| D(Actual Cell Size: Small)
B -.->|Expectation Mismatch| E[Coverage Holes / Roaming Failures]
D -.-> E