QoS aware downlink scheduler for a carrier aggregation LTE-Advance network with efficient carrier power control

Abstract

Carrier Aggregation (CA) features will enhance Quality of Service (QoS) for the users as well as cell throughput of the LTE-Advanced (LTE-A) base-station (eNodeB). To deliver a high QoS for users, an eNodeB requires a well-designed and efficient CA enabled downlink scheduling algorithm. Enabling aggregation of multiple component carriers leads to huge power consumption compared with non-CA scenario. To the best of our knowledge, CA enabled downlink scheduling mechanisms which have been proposed so far in the literature has not addressed simultaneously the QoS, carrier's power allocation and Physical Resource Block (PRB) utilization while taking scheduling decisions. In this paper, we propose a novel and efficient Multi Objective based CA Scheduling (MOCAS) algorithm, namely MOCAS-MinMax and MOCAS-NSGAII (Non-Dominated Sorting Genetic II). Analysis as well as simulation results reveal that for 100 cell user's scenario, MOCAS (MinMax and NSGAII) gives a minimum cell throughput gain of two times compared with well-referred CA schedulers like round robin (RR), Efficient Packet Scheduling (EPS), Joint Carrier Scheduler (JS), SJS-PF, Cross-CC User Migration (CUM). Moreover, MOCAS have higher PRB utilization as well scheduling energy efficiency compared with RR and EPS.