Performance Evaluation of Downlink Scheduling Algorithms in Long Term Evaluation (LTE) Network

Abstract

Long Term Evolution is standardized by the 3rd Generation Partnership Project to provide a high data rate up to 100 Mbps and 50 Mbps for downlink and uplink transmission respectively and can operate in different bandwidths ranging from 1.4MHz up to 20MHz. To enhance system’s data rate and ensure quality of service, the Radio Resource Management Scheduling Mechanisms plays a very crucial components to guarantee the Quality of Service performance for different services. scheduler assigns the shared resources (time and frequency) among users terminal, in this thesis the focus is on the downlink scheduling. we modeled and evaluated the performance of Round Robin, Proportional Fairness and best channel quality indicator (CQI) scheduling algorithms. The performances are compared in term in throughput and bit error rate using MATLAB.