Tag: SMO

Recently, the O-RAN automation market has been shifting toward the SMO/Non-RT RIC solutions. At the same time, due to the complexity of current systems, operators demand dynamic, intelligent, context-aware network automation. According to the O-RAN architecture, this can be realized by dedicated rApps residing in SMO/Non-RT RIC, typically utilizing AI/ML tools. This whitepaper provides an overview of the RAN automation with SMO and rApps. First, the SMO/Non-RT RIC architecture in O-RAN is introduced. It is followed by discussions on two promising use cases of RAN automation: traffic steering and beamforming optimization. The whitepaper addresses both general aspects and the design of related rApps, along with performance results.

In this blogpost we are sharing results of our recent collaboration with VIAVI Solutions on rApps operation under live-network data. We show how we integrated our NDT solution with Viavi's Geolocation rApp, exposing the location-dependent datasets based on real-world network KPI. Having that in place, we put two of our key rApps to the test using real-world network data: COOS-rApp and TS-rApp. The results demonstrate what's possible when the advanced NDT meets real operational data.

In this blog, we discuss the results of the collaborative project focused on developing an rApp for traffic steering in 4G/5G heterogeneous RANs, leveraging an open-source O-RAN architecture. The SMaRT-5G initiative, involving industry partners like Intel Labs,  TietoEvry, Aether, VIAVI, and Rimedo Labs, experiments with SMO and Non-RT RIC hosting rApps - for coordinated network optimization. Here, we focus on migrating the TS function, originally designed as an xApp, to an rApp. The article covers the ideas, differences, the actual process of migration, and the final testing and integration of the TS-rApp.