How Many Radios Does Your Private Network Actually Need? A Planning-Grade Estimator for Budget Sizing Before RF Design
A site-type-aware estimator distinguishes coverage-driven from capacity-driven radio counts across industrial, mining, port, airport and utility environments — before a formal RF design is commissioned
Radio count is one of the first numbers a private network budget hinges on, and one of the most commonly mis-estimated — because generic indoor/outdoor coverage models don’t capture what actually drives radio density in industrial environments: ceiling height, container stack shadowing, crane geometry, electromagnetic interference near switchgear, or handover overlap for vehicles moving at speed. TeckNexus has launched a Private Network Radio Sizing & Planning Estimator, a vendor-neutral tool that produces a planning-grade radio count range calibrated to eleven distinct site types — not a single generic formula applied everywhere.
Site type, described operationally, is the primary driver
The estimator is explicit about a distinction that matters more than it first appears: select the operational description of a site, not its industry label. A pharmaceutical warehouse is a standard indoor facility for radio sizing purposes; a pharmaceutical plant with cleanrooms is a specialist case entirely. Once operational type is selected, the geometry inputs and coverage assumptions that follow are calibrated specifically to that environment — a large-span industrial facility, an airport terminal, airside apron, port quayside, container yard, open-pit mine, underground mine, utility substation, or wide-area outdoor site all produce meaningfully different radio-per-square-foot assumptions, even at identical floor area.
Ceiling height turns out to be the single most impactful variable after floor area for standard indoor sites — a 30ft ceiling in an open warehouse produces significantly more coverage per radio than a 10ft office ceiling at identical floor area, because radio propagation geometry, not floor space alone, determines the coverage a single radio can carry.
Why generic outdoor formulas fail in industrial environments
The site-type branches expose constraints a generic coverage calculator would miss entirely. Container yards suffer severe RF obstruction from stacked containers — each tier reduces effective radio coverage by roughly 15–25%, meaning the estimate for a four-high stack looks nothing like a two-high stack even across identical yard area. Port quayside coverage is linear rather than area-based, sized by berth length and coverage depth, with crane height relative to antenna placement determining whether coverage is straightforward or requires additional radios to work around crane shadow zones.
Open-pit mines carry their own geometry problem: pit walls both reflect signal and create shadow zones on lower benches, meaning coverage is typically sized per bench level for the lower pit, with wider coverage achievable on upper benches. Underground mines are treated as an entirely separate output category — leaky feeder (radiating cable), not standard base stations, is the technology, and the estimator’s output for underground sites is cable length and amplifier count rather than radio count at all. A professional design remains mandatory before procurement for any underground deployment regardless of what the estimator returns.
Utility substations and generation plants carry a distinct warning: high-voltage switchgear, transformers and power lines generate electromagnetic interference that measurably reduces effective radio coverage, and the estimator widens its range accordingly — while flagging that a site survey to characterise the EM noise floor is strongly recommended before formal design.
Spectrum band is the second-biggest lever on radio count
After site geometry, spectrum band choice is treated as the next most consequential input. mmWave (26/28GHz) requires substantially more radios for the same coverage footprint due to its short range, while licensed low-band spectrum under 1GHz needs far fewer radios, at the cost of lower per-radio capacity. CBRS/shared 3.5GHz remains the most common starting point in the US given its lack of licence fee, while licensed mid-band (3.7–4.2GHz) covers the primary enterprise allocation across Germany, the UK, Japan and much of APAC. Organisations that haven’t yet settled on a band are explicitly supported — selecting “unknown” simply widens the estimate range to reflect that genuine uncertainty, rather than forcing a premature commitment.
Where CBRS is selected, the estimator distinguishes GAA (General Authorised Access) from PAL (Priority Access Licence): GAA carries no licence cost but introduces interference risk in dense deployments, potentially requiring 20% capacity headroom, while PAL provides licensed priority access and interference protection — the estimator recommends PAL specifically for OT and mission-critical use cases, where interference risk isn’t an acceptable trade-off for the cost saving.
Capacity: where coverage-driven and capacity-driven estimates diverge
Device count and traffic profile drive the second half of the estimate — and the estimator is direct that uplink is typically the binding capacity constraint in industrial deployments, since cameras, sensors and AGV telemetry all generate uplink-heavy traffic that many enterprise network assumptions don’t account for. Traffic profiles are calibrated by workload type rather than generic device count: video-surveillance-heavy deployments are uplink-constrained in a way light IoT telemetry never is, while mission-critical OT — SCADA, safety systems, emergency communications — is modelled at near-100% concurrency with no tolerance for congestion, a materially different capacity posture than connected-workforce mobile broadband, where not all users are active simultaneously.
Mobility compounds capacity planning in a way that’s easy to underestimate: vehicle-mounted devices require handover overlap between cells, since each radio must cover an area that overlaps its neighbours at the cell boundary to maintain connection during handover — a requirement that increases effective radio count by 10–25% depending on speed and site geometry, purely to maintain seamless handover rather than to extend raw coverage.
From planning-grade estimate to procurement-ready design
The estimator is explicit about its own limits: it produces a planning-grade range for budget sizing and vendor conversations, not a substitute for formal RF design, site survey, or vendor engineering — and for mission-critical or complex deployments, that formal RF design step remains mandatory before procurement. What the estimator changes is the starting point of that process: entering budget conversations and vendor RFPs with a defensible, site-type-calibrated range rather than either a generic industry rule of thumb or a number supplied by the first vendor consulted.
Network planning teams, OT/IT architects and procurement teams sizing a private network deployment can take the free, vendor-neutral estimator directly and receive a full sizing report — including coverage versus capacity binding constraint, a planning risk score, and a recommended next step — in around six minutes.
Related Tool: Private Network Use Case-to-SLA Mapper
Once radio count is sized, confirm the SLA parameters — latency, availability, redundancy — driving that estimate are matched to your actual use cases, so the design and the specification stay aligned through procurement.
