Tag: Energy Efficiency

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.

Recently, within the RAN domain, energy efficiency has been pointed out as one of the key requirements moving forward. It has been defined as end-to-end involving all domains within the O-RAN system. The overall objective for O-RAN is to gradually become more energy efficient than the regular RAN. This should not be at a cost of the key O-RAN concepts including cloudification and disaggregation. This whitepaper provides an overview of the energy efficiency topic in 5G mobile networks and how it fits into the O-RAN area. This is followed up by example algorithms utilizing ML schemes and their realization in the form of rApps based on O-RAN use cases.

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.

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.

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.