Nowadays, a constellation of different network access technologies, such as 2G, 3G, LTE, WiFi and fixed, coexist to provide seamless access to voice and data services. This contributes to a significant increase in the signaling traffic that a network needs to handle.
The networks have become more prone to signaling congestions caused by overload of traffic or outages in parts of the network.
Since most of the network signaling requires accessing some kind of subscription data, failing to contain a signaling peak will cause an escalation of the overload, and its propagation to the subscriber data management system.
One of the biggest effects of this scenario is service degradation that may result on an increase in the rate of subscriber churn.
Ericsson’s User Data Management implements unique functionalities to guarantee the network performance and service reliability in the event of a signaling overload coming from the network with:
- Throughput elasticity in the user database during overload with adequate latency tradeoff to deliver additional throughput when the network needs it most.
- Intelligent throttling of excess traffic, by means of a cooperative load regulation between Application FEs and user database with proper traffic prioritization.
- Multi-application cooperative load regulation to secure optimal overload handling for mission critical applications.
The result of implementing these mechanisms is a less intense overload (20% softer), reduced duration of signaling storms (80% shorter) and increased traffic processing under congestion (30% more).