Report predicts 18 billion connected IoT devices by 2022
The latest Ericsson Mobility report predicts that Internet of Things (IoT) devices will surpass mobile phones as the largest category of connected devices starting from as early as 2018 and that there will be about 18 billion connected IoT devices in 2022.
This massive uptake, the company has said, would require a different approach to network planning, design, operations and capabilities than traditional mobile broadband networks.
To support operators in this expected massive IoT use cases, Ericsson has packaged a broad range of radio network services together to enable operators to smoothly introduce Internet of Things applications on their networks. This includes the introduction of new IoT software features such as Voice over LTE support for Cat-M1 and automated machine learning to Ericsson’s Network Operations Centers (NOC).
Peter Laurin, Head of Business Area Managed Services, Ericsson, says: “Introducing new IoT software features, such as Voice over LTE (VoLTE) support for Cat-M1 will enable operators to explore new use cases in which it can be advantageous for IoT devices to support voice services, opening up opportunities to expand enterprise services to areas such as security alarm panels, remote first-aid kits, wearables, digital locks, disposable security garments, and other types of IoT-enabled applications and services.”
Laurin also adds that “introducing automated machine learning to its Network Operations Centers (NOCs) will help operators to manage delivery cost and take a proactive approach to event and incident management. In a trial, 80 percent of all incidents were identified by machine learning only with no human intervention – and the root cause was identified correctly in 77 percent of cases.”
Heterogeneous IoT networks and diverse use cases with varying needs will require a different approach to network planning and design. To support this, Ericsson is introducing scenario assessment, network modelling, design development, and developmental appraisal for massive IoT networks.
Jamie Moss, Principal Analyst, Consumer Technology and IoT at Ovum, says: “Operators need partners that can help them to introduce new technologies smoothly and quickly. This is especially true in the case of LTE-M and Narrow Band IoT (NB-IoT). As enhancements to LTE, they appear to represent the operators’ core competency. But LTE-M and NB-IoT will be used, and will be required to perform, in ways that are completely new. Their rollout, the handling of the traffic they generate and the management of the services they exist to enable require network services that offer a comprehensive portfolio of abilities. Machine learning and artificial intelligence are not just buzzwords, but are vital and exciting tools being employed by Ericsson for use within a network to help operators manage the many new devices they will need to serve in the future.”
Jumoke Akiyode Lawanson & Angel James
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