Arrival of 5G technology has raised the need to focus on innovation rather than day-to-day network operations at the NOC/SOC centers. Zero latency requirements of critical industries like health, manufacturing, agriculture, and drone supported hard task operations, IoT devices, and driverless vehicles accelerated digitalization and autonomous network needs of CSPs. Covid-19 pandemic has created a tremendous demand for fast access to the internet, information, and data which are requested almost simultaneously. Under all these conditions, CSPs have increased their efforts to develop automations that do not require human intervention that will respond to this speed. On top of these, dealing with legacy network challenges and 5G network adaptations are forcing CSPs to transform their business models to be more intelligent and autonomous. Innovile offers end-to-end network optimization, automation and zero touch network solutions via Artificial Intelligence and machine learning algorithms. Innovile empowered its SON Platform to provide fully automated, flexible, and end-to-end network optimization solutions for superior network performance of CSPs. Innovile’s open architecture allows its solutions to be configured to suit various network characteristics and operator’s individual requirements. The modular solution structure and common architecture make it possible to create different solution packages to meet CSPs’ needs.

The SON Platform automatically establishes correct neighbor relations, enables frequency and code optimization, makes consistency-check and autocorrect, enhances coverage and capacity optimization, and regulates mobility load balancing on 2G, 3G, 4G, and 5G; at the same time, it provides auto plug and play module, self-healing, energy saving and mobility robustness optimization with its rich dashboard interface and graphical reports. While the performance management solution takes snapshots of the network and statistically reflects the existing network fatalities, configuration management helps CSPs to configure and manage the network with auto driven, predictive correction actions and zero touch network operations for complex daily activities. The fault management solution provides monitoring for real time network problems and takes automated actions for known alarms and issues to solve them immediately, while these known alarms are automatically enriched in time thanks to AI.