Supporting IoT services on 5G network

High speed, high reliability and low latency are the key benefits that CSPs expect from 5G. While high speed (targeted at 20 Gbps) helps to upload and download video-based content faster and in larger volumes, high reliability (always 100%) supports mission-critical services especially in the IoT world. Low latency (sub millisecond) cuts down the time to deliver mission-critical applications.


In such a high-demand dynamic service environment of 5G, an SQM (Service Quality Management) especially designed for digital/IoT services will enable the CSPs to provide the following:

  • Service monitoringIoT networks are currently being overlaid on existing communication networks (and soon 5G) and therefore require CSPs to manage service degradations, root cause analysis and resolution to be carried out constantly. An SQM can help with

⁻       IoT services managed as per industry vertical

⁻       Network/slice analytics and associated service analytics

⁻       Network/slice capacity and congestion KPIs


  • Real-time network/slice KPIsAs IoT data traverses 5G networks, it needs to be monitored in real-time (down to a few ms of delay). Some key network/slice KPIs would be capacity, latency, jitter, throughput and bandwidth allocation. As latency can range from 1-10 ms for different IoT services, jitter from 10-100 microseconds, bandwidth from 100 Kbps (small sensored devices) to several hundred Mbps (robotic cameras), varying levels of these metrics per slice means constant manoeuvring for scaling-in, scaling out of slice resources
  • Assuring reliabilityThe acceptable level of service assurance for most time-critical services is 100% and many operator processes need proactive SQM with closed-loop automation to reduce delays and increase network reliability
  • Predictive maintenanceIn order to protect the IoT service uptime, digital SQM offers predictive and pre-emptive maintenance for services prone to failure. For example, 5G network slices can carry out dynamic route optimization especially for services that are mobile (cars, drones, etc.). In order to predict problems accurately and then follow up with pre-emptive maintenance, use of analytics-led SQM will be key
  • Analysis and resolution – Root cause analysis for identification of service issues and use of dynamic orchestration to resolve issues to improve the latency, jitter, bandwidth and other critical characteristics of the network slice, including clearing of alarms
  • Service dashboardsFor end-to-end monitoring for each industry vertical and for each end user, the 5G CSP can provide aggregated service performance dashboards and visualization/drill-down to individual network slice

Source: Telco Professionals


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