Downlink scheduling algorithm over LTE networks using genetic algorithm

Abstract

ABSTRACT The Third Generation Partnership Project (3GPP) has introduced the Long-Term Evolution (LTE) to handles the increasing demand for the wireless network setup. In the LTE setup, radio resource management scheduling algorithms are employed to distribute radio resources to users that have diverse Quality of Service (QoS) requirements. QoS Class identifier radio resource allocation algorithm for LTE downlink uses QoS requirements and channel conditions to decide the transmission order of users. However, this resulted in poor network performance by deteriorating the network data throughput and an increase in average delay due to the lack of proffer use of genetic algorithms (GA). In this paper, a new scheduling algorithm is proposed to improve the poor performance degradation of the network by introducing the idea of GA before radio resources are allowed to users. Simulation is used to test the performance of the proposed algorithm and the results obtained show that it considerably beats the other algorithm according to the measured metrics. An improvement of 65.76% was observed in terms of spectral efficiency, an increase of throughput and the average delay was minimised.