Performance Evaluation of Packet Scheduling Algorithms for LTE Downlink

Abstract: Long Term Evolution (LTE) of the Universal Mobile Telecommunications System (UMTS) is designed to revolutionize mobile broadband technology with key considerations of higher data rate, improved power efficiency, low latency and better quality of service. It promises high peak data rates of 100 Mbps downlink and 50 Mbps uplink transmissions and can operate in different bandwidths ranging from 1.4 MHz up to 20 MHz. Scheduler makes a decision on allocation of Resource Blocks (RB) to User Equipments (UE) through the frequency and time domains. Channel Quality Indicator (CQI) is used as a main parameter during the decision process. This master thesis focuses on performance of LTE downlink scheduling. Round Robin (RR), Best CQI and a proposed Empirical scheduling solution are investigated under different bandwidth and antenna configurations.