Tag: O-RAN Alliance

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.

When talking about future RAN security, one has to consider threats related to the radio segment of a network, and the expanded attack surface, due to the open architecture and interfaces in O-RAN. Those should be expanded by a discussion on AI algorithms security, as AI is to be embedded in multiple network tiers starting from UE, gNB at the edge of the network in the MEC module and in a cloud. In this post, present considerations on threats and opportunities that O-RAN specifications create for network security to deliberations on how AI at the network edge can, on one hand, be a target of attacks, and on the other, increase the network security.

This blog post covers the topic of Beamforming in the context of the Open Radio Access Network. First, we discuss the possible implementation of beamforming in 5G networks, namely Grid of Beams. Then, some challenges regarding GoB are highlighted. Finally, some ideas for utilizing O-RAN to solve them are mentioned.

Network slicing, allows to use a single physical infrastructure allowing to put the functionality where and when needed depending on the use case and application. This concept allows flexibility and tailoring of a dedicated virtual network to a specific need. In this post, we’ll discuss the overall concept of network slicing with the focus on 5G RAN aspects. This is followed up by placing the network slicing in the O-RAN context. We'll touch on the architectural aspects related to Open RAN as defined by O-RAN ALLIANCE.

In this blog post, we provide a general overview of ways to improve EE in contemporary mobile networks. This is followed up by some representative examples of algorithms aiming at EE optimization at different levels, with a focus on the utilization of ML techniques. We then put it in the context of O-RAN where the deployment of EE-focused aspects and algorithms is discussed.

RAN Intelligent Controller (RIC) is one of the key elements in the O-RAN architecture, which allows feeding an „external” intelligence into the operations of the radio network. It creates a platform for which the software companies could provide per-use case AI-powered algorithms to make way for, among others, radio resources usage or procedure optimizations. This whitepaper provides an overview of the RIC, discusses its functional split into Non-Real-Time and Near-Real-Time entities along with the concept and examples of rApps and xApps.