Calculator Inputs
Formula Used
Throughput = Bandwidth × Spectral Efficiency × MIMO Layers × Protocol Efficiency × Load Factor
Transmission Delay = Payload Size (KB) × 8 ÷ Effective Throughput (Mbps)
Radio Propagation = Radio Distance ÷ 299.792
Transport Propagation = Transport Distance ÷ Medium Speed
Queue Delay = Scheduling Delay × (Load² ÷ (1 - Load))
One-Way = Radio Propagation + Transport Propagation + Transmission + Scheduling + Queuing + RAN + Transport Fixed + Core + Retransmission + Compute Placement
RTT = 2 × One-Way Latency + Response Processing
How to Use This Calculator
- Enter the radio distance from user equipment to the serving site.
- Add the transport distance between the site and the compute or core path.
- Set payload size, allocated bandwidth, spectral efficiency, and MIMO layers.
- Adjust protocol efficiency and network load to reflect real operating conditions.
- Include scheduling, RAN, transport, and core delays from your architecture assumptions.
- Add retransmissions and HARQ delay when link quality is unstable.
- Choose transport medium and compute placement to model backhaul and application location.
- Press Calculate Latency to show the result above the form, then export it with CSV or PDF if needed.
Example Data Table
| Scenario | Payload (KB) | Bandwidth (MHz) | Load (%) | Compute | One-Way (ms) | RTT (ms) | Throughput (Mbps) |
|---|---|---|---|---|---|---|---|
| URLLC Edge Slice | 64 | 100 | 30 | Edge | 5.074 | 10.647 | 2,131.36 |
| eMBB Regional Core | 256 | 100 | 45 | Regional | 11.375 | 23.551 | 1,464.21 |
| Centralized Heavy Load | 512 | 60 | 78 | Central | 42.465 | 85.931 | 249.06 |
Frequently Asked Questions
1. What does this calculator estimate?
It estimates one-way latency, round-trip latency, throughput, and jitter using radio, transport, processing, load, and retransmission assumptions. It is a planning model, not a live network probe.
2. Why can measured ping differ from this result?
Live networks add scheduler behavior, congestion bursts, routing asymmetry, DNS, server performance, protocol stacks, and handset constraints. Those factors can raise or occasionally lower observed latency.
3. Does more bandwidth always reduce latency?
Not always. More bandwidth mainly lowers transmission delay and can help under load. If core delay, queuing, or long transport paths dominate, extra bandwidth may only improve latency slightly.
4. Why are retransmissions important?
Each retransmission adds recovery time before successful delivery. Poor radio conditions, interference, or mobility can trigger retries and quickly push latency beyond targets for demanding applications.
5. How does edge computing help?
Edge placement shortens the application path after the radio and transport segments. That reduces added compute distance, helping interactive workloads such as gaming, industrial control, and vision systems.
6. What RTT target should I use?
Use a target that matches the service. Industrial control may need very low RTT, while streaming, browsing, and many enterprise apps tolerate higher values without serious user impact.
7. Can I model uplink and downlink separately?
This version produces a combined estimate from shared assumptions. For asymmetric behavior, run separate scenarios with different payload sizes, load levels, scheduling delays, and retransmission counts.
8. When should I recalculate latency?
Recalculate whenever bandwidth changes, traffic grows, topology shifts, compute moves, radio conditions worsen, or service targets tighten. Small architectural changes can meaningfully alter total delay.