Estimate private 5g concurrent user capacity from explicit engineering assumptions. The tool shows the primary planning value plus supporting figures so you can see how traffic, margin, geometry, or path components affect the result. Use measured inputs when available and treat the output as a design estimate rather than a service guarantee.
The registered-user estimate translates a simultaneous traffic limit into a population estimate. The active-user result is the firmer capacity figure because the activity factor is an operational assumption.
Planning estimate only. Validate assumptions against equipment specifications, measurements, and local operating conditions.
With 1000 Mbps, 5% headroom, 4 Mbps per active user, and a 65% activity factor, usable capacity is 950.0 Mbps. That supports 237 active users and 364 registered users.
A lower activity factor means fewer registered users transmit at once, so the same active-user capacity can serve a larger registered population.
Use a busy-hour average for capacity planning, then retain headroom for short peaks. Using an isolated speed-test maximum will usually understate capacity.
No. The result uses the entered downlink capacity. Run a separate calculation with uplink capacity and uplink demand when that direction is important.
A fraction of a user cannot be fully supported, so capacity is rounded down to the nearest whole user.
No. It is a traffic-capacity estimate and does not model signal quality, spectrum reuse, interference, scheduling, or equipment limits.
| Variable | Meaning |
|---|---|
| Usable capacity | Measured or engineered downlink Mbps |
| Headroom | Capacity intentionally left unused |
| Activity factor | Registered users active simultaneously |