Identification of Inefficient Radios for Efficient Energy Consumption in a Mobile Network

Nallamothu Pardhasaradhi, Joy Bose, Akshat Vikram, Ashish Verma, Manny Jain

Abstract: In a mobile network, it is important to identify energy inefficient RRUs (Remote Radio Units) to improve the overall energy efficiency of the network and achieve significant energy and cost savings. Existing solutions can identify inefficient RRUs based on hardware alarms or faults, but not energy consumption in real time for a given region. In this paper, we propose a network energy consumption model and method to identify inefficient RRUs with respect to power consumption in real time. Our method involves ML models trained on the historical data of performance management (PM) counters to predict the RRU energy consumption, on the basis of which the RRUs having a higher divergence between predicted and actual energy consumption are identified. The system is trained and tested with simulated data based on a major network operator.