Computational Complexity and Energy Consumption Analysis of Dynamic Resource Scheduling Algorithms for LTE

This paper presents a detailed analysis of computational complexity, RF and operational energy consumption of a number of radio resource management strategies. Those scheduling algorithms are evaluated within a LTE downlink simulator and the results show that the adaptive scheduling algorithm is able to achieve a significant energy saving - up to average operational energy reduction gain of 71.75% and 47.86% over a conventional non-energy aware resource allocation scheme in the pessimistic and optimistic case, respectively. In addition, the computational complexity of the algorithm is estimated, and the trade-off between RF and DSP processing for power efficiency is evaluated.