Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling
Saish Urumkar, Byrav Ramamurthy, Sachin Sharma · 2023
Open RAN is a promising cellular technology that is currently undergoing extensive research for future wireless radio access networks. Achieving optimal energy efficiency in Open RAN poses a significant challenge. This paper introduces a CPU scheduling algorithm that specifically targets this challenge by optimizing energy consumption at the base station while maintaining optimal performance levels. With the goal of minimizing energy consumption, the proposed algorithm dynamically adjusts the CPU core states, seamlessly switching between active and sleep modes based on the load conditions. To evaluate the algorithm’s effectiveness in terms of energy saving and performance, experimental testing is conducted using the POWDER test-bed located in the United States. The results of the experiments show a reduction of around 5% to 22% in energy consumption in Open RAN through the implementation of the CPU scheduling algorithm.