Designing Flexible Scheduling Algorithm for 5G

Abstract

Broad machine-type communication, ultra-reliable low-latency communication, and efficient management of expanding mobile broadband traffic are now achievable with the advent of 5th-Generation (5G) wireless mobile communication standards. One of the biggest challenges for 5G networks, meanwhile, developing effective Radio Resource Management (RRM) and scheduling algorithms that meet quality of service (QoS) requirements. Widely used Proportional Fair algorithm, which primarily gives priority to customers served by a node depending on their flow rate, is the foundation of the current 5G scheduling technology. The purpose of this project is to investigate methods for improving 5G network throughput and to suggest novel scheduling schemes. This work advances the development of 5G and other mobile communication technologies by adding data flow package latency as an extra priority parameter and using MATLAB for simulation analysis. In the end, it offers a new scheduling technique that was developed through the assessment of different radio resource scheduling approaches.