- Low latency. This refers to the extent to which data is delivered in “real time.”
- Ultra-reliability. 5G is much more technologically reliable than previous networking generations. Some public safety applications benefit most from ultra-reliability, others benefit from low latency and some benefit from both.
- High density. 5G can manage the growth in communication and device density coming from IoT, smartphone proliferation and the broad expansion of cloud-hosted data.
- Ultra-fast speeds. 5G can handle bigger data volumes and bandwidth requirements generated by the explosion of devices sharing spectrum and connected to the cloud.
So, what public safety use cases could uniquely benefit from real-time data exchange — i.e., low latency? Anything that requires data exchange in significantly less than a second. Examples include:
- High-stakes undertakings like robotics for bomb diffusion, or autonomous vehicles, which rely on both immediacy and precision.
- Augmented and virtual reality solutions (AR/VR) will also require ultra-low latency. Emergency responders’ use of AR viewers to assist in civilian public safety services are expected to be increasingly used to add valuable context, but the immediacy of the data relay will be critical.
What public safety use cases require optimal management of device density? As our world becomes increasingly IoT-enabled, 5G’s ability to manage endpoints, so that the data generated can be converted into insights, will become pivotal; 5G will be able to manage one million devices per square kilometer. Crowd management during large-scale and mega events (the Super Bowl, for example) will need to orchestrate data exchange in a fundamentally complex and complicated environment.
Lastly, what technologies and use cases require faster data processing? Use cases pertaining to rich media, like high-definition video and AR/VR. Managing data from the explosion of CCTV cameras, cellphone and other video sources also requires faster data processing to derive situational insights during an active shooter incident, for example. The growth in volume and types of video evidence sources and net new digital assets is creating a digital deluge in public safety. As agencies seek to rein in that chaos, they will increasingly rely on the processing capacity and immediacy facilitated by 5G.
For public safety agencies interested in 5G, the key questions to ask moving forward are: When is it most beneficial to have specific information with no observable delay? Where can 5G help most to churn noise into knowledge? Where do we need 5G most to ingest data from a near-infinite stream of endpoints?