Context-aware energy saving with proactive power allocation

Recent studies have demonstrated the effectiveness of proactive resource allocation under the assumption of perfect prediction of the user´s future data rate. In this paper, imperfect rate prediction merely based on the context information including large-scale channel gains of users and statistical information of system available resources is considered. Under the outage-based quality of service constraint, we propose a proactive power allocation policy aimed at minimizing the total transmit energy consumption. Simulation results show that the proposed statistical information-based proactive power allocation performs close to the one with perfect rate prediction, and exhibits evident performance gain over the non-proactive transmission policies.