LTE network trials prioritise public safety traffic
Wed 17 May 2017
Nokia along with Finland’s State Security Networks Group, and Telia, have successfully trialled a priority system whereby public safety communications are triaged over other data traffic in LTE networks.
The trials, according to a Nokia release, demonstrated the ability to prioritise traffic for first responders in busy 4G networks.
Nokia noted how LTE can offer support for mission-critical and public safety operations, including video and voice communication to enhance situational awareness, command and control, as well as the safety of both first responders and the public.
‘A vital step in the transition towards LTE-based public safety networks is to give priority to first responders and their command centers allowing them to share mission-critical information in emergency situations,’ said Nokia.
The consortium began testing the system in 2016 as public authorities in Finland prepare for a gradual migration from their existing TETRA public safety network to commercial LTE networks.
Pasi Mehtonen, head of operator business at Telia Finland said that the importance of public safety communications is widely recognised. He suggested that these successful trials and the application of advanced technologies are paving the way for future solutions in public safety.
Tommi Uitto, head of global product sales, Mobile Networks at Nokia, added: ‘The test results show that we can prioritize public safety communication over an LTE network, even when that network is extremely busy. We can use this insight to accelerate the adoption of LTE-based public safety applications, not only here in Finland, but across the globe.’
Public safety is a priority for many networking and edge computing projects. Earlier this year, Ericsson and Intel announced the launch of the 5G Innovators Initiative (5GI2), with which initial development includes augmented and virtual reality applications for first responder drone surveillance.
Last summer, researchers also revealed a visual cloud computing system to support response teams in the event of a natural or man-made disaster. The model processes data in real-time to aid first responders and provides critical data for coordinating emergency personnel, tracking suspects and identifying hazards.