5G private networks show potential for a wide range of diverse applications. Engineers can implement features to address the requirements of markets such as manufacturing and non-terrestrial networks.
Featuring 15 articles, the 2022 5G Handbook looks at private networks, timing, connectivity, latency, mmWaves, test, and other topics.
The economics of manufacturing test directly affect how you plan for the right number of test stations and test sites. Adding mmWave testing makes the difference.
Edge computing brings benefits to users by reducing network latency, thus improving services, but needs management orchestration. Here, we demonstrate how orchestration improves latency in an automotive edge-computing use case by reallocating network resources. Multi-access edge computing (MEC), commonly called “edge computing,” moves data processing to the edge of communication networks. Bringing computing close to…
As the number of cell sites increase and their sizes decrease, engineers have options to consider for battery backup. Differing battery chemistries offer more choices and different performance levels. Selecting the right battery chemistry for each application is critical to ensure reliable, long lasting, and cost-effective power delivery.
Measurements on public networks at our facilities demonstrate how 5G’s lower latency compared to LTE can improve industrial applications.
Steep learning curves in RF mmWave antenna design demand collaboration and technology understanding beyond sub-6 GHz strategies.
Targeted at IoT applications, the reduced-capability in 5G will support a wide range of devices and applications that don’t need high speed, but do need low latency and high-reliability. 5G’s real promise comes not from mobile phones, but from industrial and business applications where network operators hope to recover the huge investments they’ve made in…
Private networks, whether operated by users or by wireless carriers, requires radios, addressing, timing, and automation to make them run.
Digital predistortion compensates for an amplifier’s nonlinearities, letting it operate in its nonlinear region for maximum power efficiency.