Tag: RAN

Energy consumption is a critical aspect of any service in these modern times. In telecommunications, a flexible approach to network planning, control, and management is extremely beneficial in this aspect. The concept of O-RAN enables the creation of algorithms that allow energy saving in a manner independent of the equipment or RAN software solution used. In this blog post, we present an innovative approach to energy saving using the RIC, which is based on the direct cooperation of Traffic Steering xApp and Energy Saving rApp.

Deployment scenarios that the O-RAN ALLIANCE specifies, define how to compose the elements of O-RAN architecture in the actual deployment in the network within the cloud and physical locations. One of the key aspects is that the general split from the deployment perspective is the open Fronthaul, with the the separation between O-Cloud deployed entities, and the PNF, for O-RU component. In this blog post, we are providing an overview of different scenarios and deployment options as presented in the O-RAN resources.

In this blog post, we provide the description of an algorithm that can be realized as an rApp in the O-RAN architecture aimed at improving the network’s EE through intelligent RF channels on/off switching. First, we provide a general framework for long-timescale EE optimization which can be done in Non-RT RIC. We then propose the implementation of the RF Channel Switching algorithm within the O-RAN framework. Finally, we discuss some opportunities and challenges.

One of the key aspects of the Open RAN is embedding native intelligence within the O-RAN framework. To this end, AI/ML plays a crucial role. Some of the goals for AI/ML within RAN are: decreasing the manual effort of going through large data amounts to diagnose issues and make decisions, or predicting the future to take proactive actions. This is being addressed from the beginning within O-RAN ALLIANCE. In this post, we discuss the overall framework for machine learning within O-RAN, including architectural aspects and use cases.

In this blog post, we will provide the description of an algorithm, that can be realized as an rApp in the O-RAN architecture aimed at improving the network’s EE through intelligent Cell on/off switching. We provide a general framework for long-timescale EE optimization which can be done in Non-RT RIC. We then propose the implementation of the Cell On/Off Switching algorithm within the O-RAN framework. In the end, some opportunities and challenges are discussed.

The baseline 5G system was specified within 3GPP Releases 15 and 16, also known as 5G Phase-1 and 5G Phase 2. There are interesting developments within 3GPP, which evolved the system towards Rel-17. More recently, the standardization took the step towards a significant update with the so-called, “5G-Advanced” using Rel-18 for that purpose. This whitepaper provides an overview of the latest development steps along with outlining the main Work- and Study-Items of both 3GPP Rel-17 and Rel-18 within RAN and SA2 work groups.