Background

5G network rollouts are speeding up globally and spectrums are being allocated to enterprises, allowing the rise of private 5G networks – a network that does not need to share traffic with other cellular networks in the vicinity. This can be a crucial turning point for enterprises, especially for manufacturers who require 5G capabilities to implement the digital transformative applications that drive smart factories, and the Internet of Things (IoT).

A private 5G network allows enterprises to bring a custom-tailored 5G experience to indoor and outdoor facilities, offering a combination of essential security, reliability and performance enhancements over other wireless technologies, and replacing restrictive wired local area networks. Being designed from the ground up to dramatically improve security, bandwidth, and speed, in addition to providing mission-critical applications needed in Ultra-reliable and Low-latency Communications (uRLLC), Enhanced Mobile Broadband (eMBB), and Massive Machine Type Communications (mMTC).

Private 5G Networks Accelerates the Smart Factory

5G networks have the ability to create multiple virtual networks for specific services and traffic and deployed in-house, providing complete control over every aspect of the network. In turn, this allows manufacturers to set up their own unique security policies on the network, and tailor to the needs of each specific smart factory application.

As mentioned previously, 5G allows for large quantities of data to be transmitted over the network and is suitable for connecting large numbers of big and small devices. Private 5G networks provide the dedicated bandwidth capacity and range required for high-quality connections and consistent service to help reduce downtime.

Additionally, factory maintenance and management will also benefit from the installation of private mobile networks. By using edge computing, AI analytics, and machine learning, collecting environmental data to improve productivity, increase the effectiveness of monitoring and alert systems, and enhance predictive/preventive equipment maintenance capabilities.

Additional Private 5G Network Use Case Scenarios

5G networks can deliver vast bandwidths, high data rates, ultra-low latency, high security, and reliability, especially able to accommodate the large volumes of industrial IoT devices and applications.

Smart Factories: Computer vision has the potential to transform health and safety in factories, using AI to detect any dangerous events or inconsistencies taking place on production lines and pausing equipment/machinery before accidents happen. In addition to quality control by automating the inspection of components and goods, ensuring strict quality assurance standards are met.

Utility Factories: Paired with a secure, reliable private 5G network, automotive systems and collaborative robotics systems can support risky loads such as fuel and chemical tankers, to optimize production and minimize security risks.

Lanner Private 5G Network Solutions

Lanner platforms fully consolidate industrial-grade hardware with high-performance computing, suitable for 5G Edge Cloud platforms for MES, A/R, AI, facility management; and 5G Edge Compute Server for Autonomous Mobile Robot (AMR), Automatic Guided Vehicles (AGV), and AOI inspection.

NCA-1516 network appliance is a reliable hardware platform equipped with ample network communication features and configurations for vCPE/uCPE and Edge security, custom-made to be deployed as a robust Edge AI solution for intelligent surveillance, traffic management, access control, and beyond.

The HTCA-E400, a high-performance carrier-grade Open Edge Server with built-in AI Acceleration, is well-qualified as a consolidated Edge AI server for MEC servers, 5G Edge Cloud, and Central Units (CU) Open RAN platform.

Featured Products


NCA-1516

5G/Wifi6 Ready Desktop Appliance with Intel Atom® C3000 CPU (Codenamed Denverton)

CPU Intel® Atom® C3000
Chipset SoC

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HTCA-E400

Carrier-grade Edge Server Chassis for Open RAN / MEC

CPU Depending on compute sled
Chipset Depending on compute sled

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