In the power grid, there are devices deployed to measure physical quantities from the grid, such quantities are e.g. electrical quantities such as amplitudes of voltage and current, phase, frequency or rate of change of frequency (ROCOF). One device that can provide such measurements is called a Phasor Measurement Unit (PMU). This particular device provides the above-mentioned values synchronized to a global time clock derived, for example from GPS. Such synchronized values can be used as an input to power distribution grid services, such as state estimation service 
. Another possible service that relies on measurements of voltage, current and phase is a voltage control service 
As PMUs are very expensive devices, they are placed only at key points of interest. However, it is possible to use cheaper field devices that collect sampled measurement data and then process them in the edge cloud hosted PMU software, virtualizing the processing functionality of a traditional PMU, thus enabling the concept of the edgePMU 
. Due to the lower processing requirements of the field devices, their cost is reduced, and they can also be deployed in the distribution grid providing power system operators with a more precise knowledge of the state of their grids. The edgePMU concept separates the data acquisition from the data processing by exploiting the computational capabilities offered by distributed 5G edge clouds.
The edgePMU, with its modular approach, tackles the growing need for low-cost measurement devices in distribution networks from a new perspective. It utilizes the scalability of cloud infrastructure and decreases the specialization needed in the data acquisition device, by providing flexible cloud solutions for different data use cases. Furthermore, the overall deployment is simplified from a communication point of view since there is no need for special communications cabling and a network infrastructure managed by distribution grid operators. This approach simplifies the adoption of PMUs in distribution networks by helping distribution grid operators gradually deploy their measurement architectures. In fact, the cloud-based approach offers great flexibility in the development of monitoring and automation functionalities, by gradually stacking services and processing modules. It also provides scalability opportunities, thanks to the cloud technology-based computational infrastructure. The increased computational power offered by 5G edge cloud compared to that of low-cost single board computers enables more computationally challenging algorithms to be deployed.
Here are the key features of the edgePMU concept 
High rate raw data transmission between the data acquisition unit and the edge cloud using 5G wireless connectivity
The ability to deploy services or other applications on edge cloud infrastructure instead of having to deploy them in a traditional PMU with its high processing power
A single field device can be used as a data acquisition unit for different services hosted in the edge cloud
Services can be deployed, modified and upgraded on demand without the need to physically visit the sites
The cloud-based software is not limited to only providing phasor measurements, but could also be used to calculate other metrics for power distribution grid services
Coverage by 5G communications networks of regions in which measurement devices and edge cloud are to be located is required. The voltage or current measurement sensors and their associated secure data acquisition units have to be deployed in the power grid.
The secure data acquisition unit is connected wirelessly by the 5G network to the edge cloud hosted services.
The service of phasor calculation is deployed in the edge cloud infrastructure.
The relevant power distribution grid service is successfully deployed in the edge cloud and running smoothly.
The voltage or current measurements are collected by the data acquisition units and transmitted to the service hosted on the edge cloud.
The service deployed in the edge cloud provides upstream services, such as state estimation or voltage control, with the input data they need.
The resulting service output data, hosted on the edge cloud, is stored permanently or forwarded to upstream services.
Existing LTE wireless connectivity, if configured to provide the required latency, could support the transmission of field device measurement data to services hosted on clouds hosted on distribution system operator owned servers.
Lower than 2/Fs, where Fs is the output reporting rate of the edge cloud service. Example: 60 phasors per second at 60 Hz means Fs = 60 and 2/60=0.033 means the overall latency budget is less than 33 ms. Typical networks aim for 50 or 60 phasors, depending on the geo location. Higher reporting rates are also allowed by the standard.