Simple web interface
Plan, monitor and manage the Metnet system
Element Management System
The Metnet Element Management System (EMS) is an intuitive, web-based application that allows you to plan, configure and monitor a Metnet backhaul network.
The EMS provides simple topology views to allow you to visualise the self-organising, multipoint-to-multipoint small cell backhaul network.
The EMS also provides real-time and historical performance monitoring to aid fault-finding and troubleshooting. A planning tool allows operators to effectively design and optimise the Metnet backhaul network.
The EMS provides northbound fault management for integration into operators’ fault monitoring systems, along with northbound exporting of performance management data in industry-standard formats.
- Remote configuration management
- Fault reporting and alarms
- Scheduled operations
- System backup
- Remote software download and configuration upgrade
- EMS server – a Linux web application, which is typically installed on a server machine located in the operator's NOC.
- EMS client – a standard web browser, which can run on any standard PC with web access to the EMS Server.
The Networks Window provides an overview of the status of all Metnet backhaul networks being managed by the EMS. Networks can be easily monitored and accessed from this central management page.
The Maps Window provides a network topology view for all Metnet node installations. Each unit is automatically placed in the Map view based on its GPS location, and active links between them are updated in real-time. Metnet nodes and links can be queried to display information about the status or quality of the radio links.
A number of maps are available to give different views of the Metnet backhaul network, including street maps and satellite views.
The Metnet EMS provides both real-time performance monitoring and historical statistics to aid fault-finding and troubleshooting. Bandwidth can be assigned on a per-node basis. Network upgrades can be scheduled automatically and managed remotely.
In the Maps Window there is a Fault Status bar at the top of the screen, which the user can hover over to get a quick view of alarms across the entire network over a given period of time – such as one day, one hour or 5 minutes. Alarm details are displayed in the bottom left-hand corner of the screen. The user can also query each Metnet node and link to see the alarm status and more detailed fault information.
The Alarms Window displays current network alarms and historic events. Alarms are colour-coded to indicate priority. They each have date and time stamps, together with the corresponding Metnet node ID number and the alarm description. Alarms and events can be filtered based on priority and the Metnet node ID. They can also be exported into a data file for the purposes of analysis and backup.
Metnet backhaul network bandwidth demands can be managed through the Bandwidth Configuration Window. Bandwidth can be assigned on a per-node basis for both peak and mean traffic demands, and in the uplink and downlink directions. Based on Metnet node demands, the system will automatically configure the network topology and resources to best meet requirements.
Detailed network performance data is provided via Metnet node and link statistics over selected periods of time. Link traffic, RF parameters and Metnet node statistics such as traffic, latency and temperature can all be added to interactive graphs to aid troubleshooting. Performance statistics are exportable into a data file for further analysis.
The EMS can be used to remotely upgrade and manage software releases throughout the Metnet backhaul network. New software releases can be scheduled and will automatically be installed with minimal operator input.
The EMS includes an integrated planning tool that allows operators to model a Metnet multipoint-to-multipoint backhaul network, to determine the optimal location and configuration of units to meet capacity requirements.
The planning tool uses street data to estimate LOS and calculates theoretical link budgets based on the locations of Metnet nodes. The same self-organizing network algorithms are used to model the optimal network topology, based on capacity requirements and locations of Metnet nodes. Operators can plan extensions to the existing small cell network to understand the effect of adding new sites and ensure backhaul requirements can be met.