Enhancing Energy Efficiency in O-RAN Through Intelligent xApps Deployment
Xuanyu Liang, Ahmed Al-Tahmeesschi, Qiao Wang, Swarna Chetty, Chenrui, Sun, Hamed Ahmadi

TL;DR
This paper presents two innovative xApps for the O-RAN architecture that significantly reduce energy consumption in 5G networks by intelligently managing radio components, achieving up to 50% power savings without affecting QoS.
Contribution
The paper introduces novel xApps for O-RAN that optimize power efficiency by dynamic management of radio components, validated through realistic simulations.
Findings
Up to 50% power savings achieved.
Effective management of Radio Cards (RCs) states.
Maintains QoS while reducing energy consumption.
Abstract
The proliferation of 5G technology presents an unprecedented challenge in managing the energy consumption of densely deployed network infrastructures, particularly Base Stations (BSs), which account for the majority of power usage in mobile networks. The O-RAN architecture, with its emphasis on open and intelligent design, offers a promising framework to address the Energy Efficiency (EE) demands of modern telecommunication systems. This paper introduces two xApps designed for the O-RAN architecture to optimize power savings without compromising the Quality of Service (QoS). Utilizing a commercial RAN Intelligent Controller (RIC) simulator, we demonstrate the effectiveness of our proposed xApps through extensive simulations that reflect real-world operational conditions. Our results show a significant reduction in power consumption, achieving up to 50% power savings with a minimal…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · IoT and Edge/Fog Computing · Wireless Body Area Networks
Methodstravel james · Balanced Selection
