Wi-Fi vs CBRS vs Private LTE vs Private 5G: What Actually Determines the 5-Year TCO Winner
The Wi-Fi versus private cellular TCO conversation is usually framed as a simple cost-per-access-point comparison, which misses the finding that actually determines the outcome in most industrial environments: in a large paper mill with metal structures and high ceilings, a published Nokia benchmark found private LTE required only tens of microcells against hundreds of Wi-Fi access points to cover the same area — making cellular the cheaper technology overall despite carrying a higher per-unit cost. TeckNexus has launched a 5-Year TCO Comparator for Wi-Fi vs CBRS vs Private LTE vs Private 5G, an independent, vendor-neutral comparison built on TeckNexus intelligence and published research spanning over 1,000 customer deployments, five-year TCO studies across commercial, manufacturing and energy buildings, and region-specific spectrum licensing costs.
Region sets spectrum cost — and it isn’t equal everywhere
The comparator’s first input is region, and the reason is direct: spectrum availability and cost differ materially by country in ways that meaningfully shift the TCO comparison. CBRS General Authorised Access in the United States carries zero spectrum cost and is identified as the lowest-cost private cellular spectrum path globally, while Europe (Germany’s 3.7–3.8GHz local licensing, the UK’s 3.8–4.2GHz shared access), Asia-Pacific (Japan’s 4.6–4.9GHz local 5G, Australia’s CBRS equivalent), and the Middle East, Africa and Latin America — where operator-led or MNO sub-licensing models predominate and direct enterprise spectrum access is more limited — each carry different cost structures entirely. A TCO comparison run without regional calibration risks importing US-specific CBRS economics into a market where they simply don’t apply.
Deployment environment: the single biggest TCO driver
The comparator names deployment environment directly as the single biggest determinant of which technology wins on TCO — not device count, not use case, not even region. Indoor office and commercial environments are where Wi-Fi’s cost advantage is strongest, given standard morphology, moderate device density and a relatively benign RF environment. Indoor industrial environments — factories, warehouses, hangars, refineries — are where that advantage reverses: metal structures, high ceilings and moving machinery create a challenging RF environment where cellular wins on total access point/base station count and cabling cost, echoing the Nokia paper mill benchmark directly. Outdoor environments — large campuses, yards, ports, mines, airfields — are flagged as environments where Wi-Fi simply isn’t viable at scale, making cellular the clear winner rather than a close comparison. Mixed indoor/outdoor sites — terminals, hospitals, airports, complex multi-zone facilities — are where hybrid designs become common, since no single technology cleanly wins across every zone.
Site footprint determines the largest single capex line
Site footprint — from small facilities under 50,000 sq ft requiring up to roughly 30 Wi-Fi access points, through medium and large sites, to extra-large sites over 2 million sq ft or 100 acres requiring 1,000+ Wi-Fi access points where cellular becomes the only practical solution — directly determines the number of access points or base stations required, identified as the largest single capex component in the entire comparison. This is grounded in the industry principle that cost per square foot is the primary TCO metric for in-building wireless comparison, which the comparator applies consistently across all four technologies rather than defaulting to a Wi-Fi-centric cost model and treating cellular as an add-on.
Device count and use case determine whether Wi-Fi is even technically adequate
Concurrent device count — from under 200 to over 5,000 devices — drives core and controller dimensioning as well as OpEx, since SIM management for cellular and access point management for Wi-Fi carry genuinely different cost curves at scale, with IoT-dense deployments favouring cellular’s per-device cost model once device count climbs high enough.
Primary use case class does more than shift cost — it determines technical adequacy. IT and office use cases (email, collaboration, guest Wi-Fi) are best-effort and Wi-Fi is a natural fit; critical OT and automation use cases (crane control, AGVs, robot coordination, SCADA) require deterministic low latency and 99.99% availability where Wi-Fi is documented as unreliable under load in Nokia Bell Labs/Aalborg University testing, making cellular not merely cheaper but the only technically viable option. Video surveillance sits in its own category, where wireless camera backhaul is the primary TCO driver — Nokia’s finding that airside camera cabling is prohibitively expensive is directly relevant here. Mixed OT+IT workloads get their own treatment too: Nokia’s DAC recommendation favours a single private wireless platform for both workload types, since a converged approach reduces OpEx compared to running genuinely separate networks for operational and administrative traffic.
Greenfield vs brownfield changes what’s actually being compared
Whether the deployment is greenfield with no existing infrastructure, brownfield with existing Wi-Fi being replaced or augmented, or brownfield with existing private LTE being evaluated for a 5G upgrade changes what the comparison is actually measuring. Greenfield sites carry no sunk cost advantage for any technology, making for the most straightforward forward-looking comparison. Brownfield Wi-Fi sites may reuse existing cabling and some access points, lowering the Wi-Fi upgrade cost specifically, while cellular starts from scratch but avoids ongoing Wi-Fi OpEx going forward — a genuine trade-off rather than an automatic advantage for either path. Brownfield cellular sites modelling an LTE-to-5G upgrade are comparing a different question entirely: the upgrade delta against staying on existing LTE, not a fresh four-way technology comparison.
Calibration: default benchmarks, adjustable to procurement reality
The second phase lets the organisation adjust cost assumptions directly rather than accepting published benchmarks uncritically — default values reflect published industry benchmarks, but market conditions, actual vendor quotes, or internal cost data can be substituted in, keeping the output grounded in the organisation’s actual procurement reality rather than a generic industry average that may not reflect its specific negotiating position.
From comparison to a defensible technology decision
The output — a 5-year cost comparison, year-by-year breakdown, break-even analysis, a fit-for-purpose matrix, and full methodology — is built to answer not just “which is cheaper” but “which is cheaper for this specific site, this specific use case, and this specific scale,” since the comparator’s own findings make clear that the answer genuinely changes across those variables rather than converging on one technology universally.
Enterprise architects, procurement teams and network planners comparing wireless technologies can run the free, vendor-neutral comparator directly.
Related Tool: Private Network Radio Sizing & Planning Estimator
Once you know which technology wins on TCO for your site, get a planning-grade radio count estimate calibrated to your specific site type and deployment environment.
