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Enterprise Campus Private 5G

Centralised timing + engineered PTP across a shared network

Sector: Multi-building enterprise campus private 5G 

Challenge: Campus policy prohibited new rooftop antennas on several buildings 

Network reality: Shared IT switching, varying loads, mixed east-west traffic


Enterprise campus private 5G

Starting position


The private 5G team needed to support multiple indoor coverage zones. Several BBUs/O-DUs were placed in different buildings where:

  • Rooftop GNSS was disallowed

  • Installing long antenna runs was impractical

  • “Timing switches everywhere” was not budgeted


Timebeat deployment strategy


1) Build one “timing core” site 

A single approved building hosted the timing reference:

  • GNSS-fed Timebeat timing appliance

  • redundant power and network uplinks


2) Engineer the campus transport for timing (without rebuilding it) 

Instead of demanding a full telecom timing network, the approach was:

  • Dedicated VLAN and QoS for timing flows

  • Controlled path selection (documented switching path)

  • Removal of avoidable asymmetry (same forward/reverse route where possible)


Telecom timing concepts like boundary/transparent clocks are often cited as mechanisms to limit PDV/asymmetry in fronthaul. Where campus switches didn’t support timing features, Timebeat’s stability techniques helped maintain usable synchronisation anyway.


3) Validate against the actual 5G requirement 

Testing focused on:

  • Stability during normal utilisation

  • Stability during peak IT activity (backups, large file transfers)

  • Recovery after link events


Result (operational outcomes)

  • Private 5G zones were brought online without waiting for rooftop permissions.

  • The customer avoided “GNSS everywhere” costs and reduced installation risk.

  • Timing became an engineered service with clear operational guardrails (what changes are safe, what triggers re-validation).


Why this matters

Enterprise campuses want private 5G, but they don’t want to become timing experts.

This case demonstrates a pragmatic model: centralise absolute time, distribute it with engineered PTP, and make the performance robust enough for real enterprise traffic.

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