Private 5G and Edge Computing: The Infrastructure Stack for Industry 4.0

TL;DR:

• Private 5G + edge computing replaces Wi-Fi + cloud for latency-sensitive industrial applications — robotics, computer vision, and real-time control loops that can’t tolerate cloud round-trips
• The stack combines a 5G radio access network (RAN), an on-site 5G core, and an edge compute cluster — typically all from one vendor or a two-vendor combination
• Total deployment cost for a mid-size factory starts around £500K; ROI is typically driven by OEE improvement and reduced unplanned downtime rather than connectivity cost savings alone

Industrial Wi-Fi works for most factory applications. It doesn’t work well for mobile robots that move between coverage cells, AGVs that need sub-10ms handoff latency, or vision inspection systems that stream 4K video from 200 cameras simultaneously. Private 5G solves these specific problems — and when combined with on-site edge compute, it also solves the latency and data sovereignty problems that come with cloud-dependent architectures.

In 2026, the private 5G + edge stack has matured from pilot projects to production deployments at scale. Here’s what it looks like in practice.

Why Private 5G Instead of Wi-Fi

Wi-Fi 6E handles most IoT workloads adequately, but has predictable failure modes in industrial environments. Wi-Fi handoffs between access points take 50–200ms — for an AGV at 2 m/s, that’s a 40cm control gap, unacceptable for collision avoidance. Dense factory environments with metal reflections and welding equipment create interference patterns that shared spectrum can’t reliably avoid; 5G’s OFDMA and beamforming handle these better. Wi-Fi is also best-effort — 5G network slicing gives guaranteed bandwidth and latency for specific traffic classes. A single private 5G base station covers 10,000–50,000 m², where a comparable Wi-Fi deployment needs far more APs.

For applications that don’t move and don’t require low latency, Wi-Fi is cheaper and sufficient. The business case for private 5G sits on the applications that specifically need it.

The Architecture Stack

A private 5G + edge deployment has three layers:

Layer 1: Radio Access Network (RAN) The physical radios — 5G small cells or macro cells — mounted on the factory floor, ceilings, or gantries. These handle the radio connectivity between devices and the network. Vendors: Ericsson, Nokia, Samsung, CommScope (commercial), and an emerging set of Open RAN vendors (Mavenir, Parallel Wireless) for cost-competitive deployments.

Layer 2: 5G Core The software-defined core network that handles authentication, session management, network slicing, and mobility. This runs on-premises (on the edge servers) to ensure low latency and data sovereignty. Vendors: Ericsson Core, Nokia Digital Automation Cloud, Athonet (now HPE), Druid Software, and open-source options (Open5GS, free5GC).

Layer 3: Edge Compute Servers co-located with the 5G core that run the applications: vision inference models, digital twin simulations, OT data processing, and control system logic. This is where NVIDIA Jetson, Intel Xeon-SP, or AMD EPYC hardware appears depending on whether the workload is AI/vision or general compute. Orchestration is typically Kubernetes (k3s for lighter deployments) with NVIDIA NGC or similar ML runtimes.

Spectrum: How You Get the Radio Frequency

Private 5G requires licensed or lightly-licensed spectrum. Options vary by country:

UK: Ofcom’s Shared Access Licence covers 1800 MHz, 2300 MHz (indoor), and 3800–4200 MHz (the main industrial band). Licences are issued per-site and per-frequency for a fee starting around £125/year for indoor deployments.

US: CBRS (Citizens Broadband Radio Service) in the 3.5 GHz band via a Priority Access Licence (PAL) or General Authorised Access (GAA, free but lower protection). GAA is sufficient for most factory deployments.

Germany: The German regulator BNetzA reserved 3700–3800 MHz specifically for local private networks — Germany has been the most aggressive in enabling industrial 5G, and hundreds of factories have deployed under this allocation.

Vendor Landscape in 2026

Celona has emerged as the most accessible option for IT-led deployments — it uses CBRS in the US, has a cloud-managed architecture similar to Meraki, and can be deployed by networking teams without deep telecom expertise. Nokia and Ericsson remain dominant for larger greenfield deployments where OT integration depth matters more than ease of management.

What It Costs

For a mid-size manufacturing facility (10,000–20,000 m², 500–1000 connected devices):

• Hardware (radios, servers, core appliances): £150K–£300K
• Software/licensing (5G core, edge orchestration): £50K–£100K/year
• Installation and integration: £100K–£200K
• Ongoing managed service (if used): £50K–£150K/year

Total first-year cost: £300K–£750K. This is substantially more than Wi-Fi infrastructure, which is why the ROI case needs to be built on application outcomes — reduced downtime, higher OEE, faster defect detection — rather than connectivity cost alone.

Early production deployments report 3–5% OEE improvement from better AGV coordination and real-time quality inspection, which for a factory running at £50M annual production can translate to £1.5M–£2.5M in additional output. At that scale, the private 5G investment pays back in 12–24 months.

Where to Start

If you’re evaluating private 5G for a facility, the practical starting point is a limited trial: deploy three to five base stations covering one production line, run one latency-sensitive application (typically AGV control or a vision inspection system), and measure the application-level outcomes against the existing Wi-Fi deployment. Vendors will typically fund a proof-of-concept at reduced cost in exchange for the reference case.

The question to answer in the trial isn’t “does 5G work?” — it does. It’s “does the latency and reliability improvement translate to measurable production outcomes in our specific environment?”