Resilient communications and computing (during emergencies and day-to-day operations) are key metrics for public safety applications and services. Resilience includes: (a) the ability to intelligently mitigate radio interference and backhaul congestion (e.g., end-to-end optimized cognitive radio networking); (b) the ability to cache and access data, deliver applications and host services even when the backhaul link to a core data center has failed or is severely degraded; and (c) smart computing to prolong the battery life of first responder mobile devices, mobile computing gateways, and mobile and wireless sensors.
During an emergency, very often, the general public competes with public safety organizations (PSOs) for wireless network resources, mobile applications and services. This puts severe pressure and variability on latency and bandwidth available to PSOs that share public cellular networks, in times of need. The same is true when several PSOs share dedicated wireless networks (e.g., FirstNet) for real-time and bandwidth hungry applications. Therefore, building artificial intelligence (AI) driven cognitive wireless networks that sense mobile networks end-to-end for adapting communications and computing decisions to interference, congestion, coverage and capacity, is critical.
“Fog” brings “Cloud” closer to the end users, i.e., to the network edge for hyper local access and services, thereby building resilience against core infrastructure failures.
SiFi, our multi-radio access terminal (multi-RAT) heterogeneous network (HetNet) mobile edge gateway technology, combines mobile fog computing and AI driven dynamic wireless spectrum management, for resilient public safety communications, computing, applications and services.