Quality of Service in Next-Generation Networks: A Comparative Analysis of Scheduling Algorithms

Next-Generation 5G(Fifth Generation) networks are intended to serve diverse applications with strict QoS requirements, including eMBB, uRLLC, and mMTC. The efficient management of radio resources by way of scheduling algorithms is essential to meet these QoS demands. This article presents a detailed comparative study of three scheduling algorithms and their roles in the next-generation 5G networks-Round Robin (RR), Proportional Fair (PF), and Maximum Throughput (MT). Their performance is analyzed on key metrics including throughput, latency, fairness, and energy efficiency based on published articles. It was found that MT scheduling experiences the highest system throughput, while PF scheduling strikes a balance between throughput and fairness, hence it is suitable for varied next-generation network use cases. Given the fact that RR scheduling is uncomplicated and fairly implemented in theory, it however fails in satisfying the stringent latency requirements of uRLLC applications. These findings should assist in enlightening the network operators’ choice of a scheduling strategy depending on the deployment environment and relevant QoS requirements.