IIoT Gets A 5G Boost of Machine Learning Innovation

#Discussion(IoTStack) [ via IoTGroup ]

They are looking to move quickly with 5G seeking solutions to help them develop services faster for specific verticals such as the Industrial Internet of Things (IIoT).When it comes to monetizing the enterprise and IIoT vertical industries 5G is much more than boosting subscriber quality of experience (QoE).

Operators must leverage supplementary technologies to enhance the usability and capabilities of 5G – and that is where machine learning (ML) is about to make waves at the Radio Access Network (RAN).Needless to say the RAN plays the critical role of connecting millions if not billions of devices to the network.The RAN could then intelligently schedule MAC resources across different network layers to say achieve more accurate MCS predictions or better spectrum efficiency to intelligently handle different devices and their diverse requirements.

Thanks to automation it can increase the amount of traffic on each cell giving mobile operators the capability to manage more subscribers and launch new IIoT and Industry 4.0 services.With 5G network deployments well underway the potential is seemingly limitless for new services.When we hear about 5G in the media it’s typically from a subscriber perspective primarily because mobile network operators are already working hard to find ways to monetize the technology.5G’s potential to drive efficiencies in enterprise services and industrial settings is where real innovation and next-generation applications are likely to occur.To truly take advantage of new technologies like digital twins cobots holographic projections and remote-controlled robotic arms dynamic provisioning of advanced Quality of Service (QoS) traffic classes like Ultra-Reliable Low Latency Communications (URLLC) massive Machine Type Communications (mMTC) and enhanced Mobile Broadband (eMBB) will be critical.

If benchmarks for Industry 4.0 are going to increase globally this new technology needs to be easy to monetize and deploy for network operators at

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