UMP WiFi Optimization
Bring your customer WiFi experience to the next level
In the era of competition for customers, Service Providers constantly innovate their infrastructure, bandwidth and OTT (Over The Top) services. However, with bad WiFi experience the customer will not be satisfied with nor enthusiastic about any additional charges for Internet access or OTT services. To solve this problem, AVSystem came up with the idea of the UMP WiFi Optimization, so that you can always provide the best customer WiFi experience.
The need for a WiFi experience management solution
Most popular WiFi band is overpopulated
WiFi 2.4 GHz is still the most widely used WiFi frequency band. Unfortunately, it is not perfect — Its main problem is signal quality suffering from the widespread use of this band. Whenever multiple transmitting (neighboring routers, bluetooth devices, microwaves) and receiving (phones and laptops) devices are competing for the same bandwidth, the physical WiFi signal in the air gets distorted and loses its range as well as data capacity.
Existing channel management solutions are insufficient
WiFi standard specifies multiple channels (frequency ranges), so it’s important for a device to select the right channel to reduce channel contention. While most of the routers offer auto-channel selection capabilities, there are various problems, such as the fact that the vendor-specific implementation is not easy to verify and lacks information about neighboring routers configuration. It also offers little performance metrics and no analytics or historical data whatsoever.
WiFi experience management is critical for Service Providers business
Once the customer calls with complaints about his recurring WiFi performance issues, there is not much that a customer care operator can do to improve the customer experience. In consequence, the dissatisfied customer loses trust in the quality of Service Provider’s offer. Things would be different, however, if only the operator had access to the UMP WiFi Optimization solution!
UMP WiFi Optimization
The WiFi Optimization solution is a flagship UMP monitoring module aimed at improving customer WiFi experience. It offers crucial insight into customer WiFi experience over time and features an algorithm that accurately chooses the best WiFi channel based on a whole population of all routers managed by the platform instead of industry-standard single device algorithm. UMP WiFi Optimization stands apart from competition in many additional ways.
Let Machine Learning and Artificial Intelligence predict future issues for you
The WiFi Optimization solution integrates with state-of-the-art streaming engine gathering the data directly from device hardware WiFi chip instead of CWMP data model — it features Machine Learning and Artificial Intelligence for time series forecasting which enables alerting even before the performance starts to degrade.
Accurately visualize customer WiFi experience with Key Performance Indicators
The WiFi Optimization analytics were designed not only to visualize one managed router, but the full network graph of all routers within one another’s reach. It can group devices by signal strength and channel rank algorithm, as well as present Key Performance Indicators such as Signal to Noise Ratio (SNR) for both single devices and groups of them.
Instantly react to WiFi alerts using Smart Workflows Instantly react to WiFi alerts using Smart Workflows
Not only are alerts raised when the performance metric threshold is reached, but also the operator can immediately perform repair action due to the Smart Workflows integration. The WiFi repair actions can also be executed automatically — dramatically optimizing the costs of ISP’s Customer Care.
Analytics presented as timelines of important WiFi Key Performance Indicators (KPIs) such as signal strength, signal to noise ratio (SNR), downlink retransmissions and failures, downlink/uplink bandwidth availability and consumption, channel swaps, channel rank score and many more
Channel ranking algorithm based on extensive research and WiFi transmission physical signal studies with an algorithm based on a whole population of all routers managed by the platform
Several ways of visualizing customer WiFi experience: all devices grouped by signal strength or channel rank algorithm score and a graph of all SSIDs visible by routers connected to the UMP system
Alerting — both historical and ongoing (when performance metric threshold is reached) along with an ability to instantly solve the root issue using the Smart Workflows integration
State-of-the-art monitoring data streaming engine integration allowing for very frequent (every few minutes) data sampling directly from device hardware WiFi chip instead of CWMP data model and featuring Machine Learning and Artificial Intelligence for fault prediction
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