09-22-2022, 01:37 PM
The 5G autonomous vehicles connected with 5G coverages and supported by the low latency of 5G are the fifth-gen vehicles and leveraging multi-access edge computing (MEC). 5G wireless technologies enable safer driving for autonomous vehicles and such technological advancements work properly with 5G network connectivity - enabling safer driving for autonomous vehicles or driverless vehicles. These types of vehicles are getting popular in the automotive industry due to cost-efficiency, safety, and reliability operate hence as the vehicle can perform all driving functions under any circumstances (run on the road to be fully automated) independently.
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The network 5G with a low latency feature enables vehicles to take immediate actions while driving if they get any obstacles on the way and receive information swiftly so that vehicles can take immediate actions while driving to avoid any trouble that may occur while driving on the road. The 5G autonomous vehicles are which are comprised of smart onboard sensors, cameras, radars, and lidars for navigating on roads, which can run on the road to be fully automated, perform all driving functions under any conditions independently and take real-time decisions immediately. Yes, an autonomous vehicle that needs 5G, but what are the use cases? The 5G cars, 5G busses, etc., can take real-time decisions autonomously and immediately.
So, here the network testing tools are playing a major role that has increased keeping the 5G network coverage fast among autonomous vehicles, understanding the necessity for 5G autonomous vehicles in the global market – RantCell is one of the best network monitoring and testing tools that have been designed to perform stringent network testing (among 5G autonomous vehicles) across the Telecom industry and provides QoE and QoS. It is known as a cloud-based smartphone app (Pro and Lite app), RantCell can offer a quality user experience (QoE) to the end-users and by analyzing data collected based on 5G network coverage, it is also useful in helping test the network of autonomous vehicles.
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