Dynamic Spectrum Sharing Calculator

Balance radios, drones, and sensors on busy job sites. Allocate spectrum fairly and forecast throughput for crews. Export results for daily shift planning reports.

Calculator Inputs

Use this to estimate how shared spectrum time-slices between legacy radios and newer devices on a construction site network.
Example: 10–100 MHz depending on band and license.
Lower values reflect harsher links or older radios.
Higher values reflect improved modulation or MIMO.
Voice, dispatch, telemetry, and supervisory traffic.
Drones, cameras, IoT sensors, tablets, and uploads.
Includes pilots, scheduling, guard time, and retransmissions.
Protect critical radio and supervisory traffic.
Guarantee baseline bandwidth for modern workflows.
Higher values bias airtime toward legacy users when congested.
Higher values bias airtime toward new users when congested.
Used to estimate per-device average throughput.
Include cameras, tablets, drones, and sensors online together.
Reset

Formula Used

This calculator models time-sliced sharing of the same spectrum between two groups. It is a planning estimate and not a replacement for field measurement.
1) Full-airtime capacity
Capacity_full (Mbps) = Spectrum(MHz) × SpectralEfficiency(bps/Hz)
Spectral efficiency captures modulation, coding, antenna gains, and link quality.
2) Net usable factor
NetFactor = 1 − Overhead(%)/100
Overhead includes control signaling, scheduling, and practical retransmissions.
3) Airtime needed to meet demand
AirtimeNeeded = Demand(Mbps) / Capacity_full(Mbps)
If AirtimeNeeded across groups exceeds 1.0, the site is congested.
4) Delivered throughput (per group)
Delivered (Mbps) = AirtimeShare × Capacity_full × NetFactor
Under congestion, remaining airtime is assigned using weighted need after minimum shares.

How to Use This Calculator

  1. Enter the total spectrum available to your site network in MHz.
  2. Set spectral efficiency for each group based on expected link quality.
  3. Enter throughput demand for legacy and new devices during peak work.
  4. Choose overhead to represent protocol and scheduling losses.
  5. Set minimum shares to protect critical traffic categories.
  6. Set priorities to bias airtime when the network becomes congested.
  7. Enter concurrent device counts to estimate per-device averages.
  8. Press Calculate, then export CSV or PDF for reporting.

Example Data Table

Scenario Spectrum (MHz) Eff. Legacy Eff. New Demand Legacy (Mbps) Demand New (Mbps) Overhead (%) Min Legacy (%) Min New (%)
Baseline day shift 20 1.5 2.8 18 35 12 25 25
High video usage 20 1.5 2.6 20 55 15 30 25
More spectrum available 40 1.7 3.0 22 60 12 25 25
Tip: Use real measurements to refine spectral efficiency and overhead.

Professional Guidance

The following notes provide context for interpreting outputs and using them in site planning documentation.

1) Why Dynamic Sharing Matters on Job Sites

Modern construction relies on connected radios, tablets, cameras, drones, and sensors. When multiple systems compete for the same band, performance becomes unpredictable. Dynamic spectrum sharing estimates how airtime can be split between legacy users and newer devices, helping planners avoid outages during lifts, pours, inspections, and safety briefings.

2) Turning Bandwidth Into Practical Capacity

The calculator converts spectrum in megahertz and spectral efficiency into an expected full-airtime capacity. This capacity represents best-case throughput if one group used the channel alone. A control overhead factor then reduces capacity to reflect scheduling, signaling, and real-world retransmissions, creating a more usable planning figure.

3) Demand, Congestion, and Airtime Allocation

By entering peak demand for both groups, the model estimates how much airtime each would need to meet that demand. If total airtime needed exceeds 100%, the network is congested. Minimum shares protect critical traffic, while priorities bias remaining airtime toward the group that must deliver time-sensitive work.

4) Operational Insights for Field Supervisors

Results highlight delivered and unmet throughput, per-device averages, and a fairness index. Use them to decide whether to add spectrum, relocate access points, improve link quality, or reschedule heavy uploads. Documenting these assumptions supports daily coordination meetings and reduces disputes when performance varies across crews.

5) Reporting and Continuous Improvement

Exporting CSV and PDF outputs makes it easy to attach calculations to method statements, temporary works plans, or site IT logs. After each shift, compare reported congestion with actual complaints and update efficiency and overhead values. Over time, the calculator becomes a practical baseline for improving coverage and reliability. This supports proactive upgrades before critical milestones and reduces downtime across the project.

FAQs

Answers are brief for quick field reference.

What is dynamic spectrum sharing in a site network?

Dynamic spectrum sharing is a time-based method that lets legacy and newer devices use the same spectrum. The scheduler assigns airtime to each group so both can operate without needing separate bands.

How do I choose spectral efficiency values?

Use field experience, vendor link budgets, or pilot tests. Lower values fit long distances, obstructions, and interference. Higher values fit strong signals, good antennas, and stable line-of-sight paths.

What does control overhead represent?

It represents protocol signaling, scheduling messages, guard time, and practical retransmissions. Higher overhead reduces usable throughput and can explain why measured performance is lower than a simple capacity estimate.

When does the calculator mark the network as congested?

Congestion occurs when the combined airtime needed to meet both demands exceeds 100%. In that case, the tool allocates minimum shares first and then splits remaining airtime using priorities.

How should I set minimum shares?

Set minimums to protect safety-critical and supervisory traffic. Keep the combined minimum shares at or below 100% so the system can still adapt to changing demand during the shift.

What does the fairness index tell me?

It summarizes how balanced per-device throughput is between the two groups. Values closer to 1 indicate more equal sharing, while lower values suggest one group is receiving much higher per-device service.

How can I improve results if unmet demand is high?

Increase available spectrum, improve antenna placement, reduce interference sources, or lower peak demand by scheduling heavy uploads. Also revisit overhead and efficiency estimates to match real conditions.

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