Performance Analysis of a Resource Allocation Scheme for LTE

In this thesis, we proposed an Intelligent Proportional Fair (IPF) scheduling algorithm for the Long Term Evolution (LTE) downlink system with multimedia traffic. The IPF algorithm is designed with aims to improve fairness, and providing acceptable system throughput. It is split into two parts, a Fuzzy-based Priority Determination (FPD) scheme and a Proportional Fair (PF) scheme. Considering Channel State Information (CSI), Quality of Service (QoS) Fulfillment Information (QFI), and service type, the FPD intelligently determines a priority value for each mobile user. The PF algorithm has been extended to compute the priority levels of active users and assigns the radio resources (Time and Frequency) based on the FPD priority value to guarantee the fairness as well as system’s throughput while allocating sufficient radio resource to the high priority users. The obtained results illustrate that compared to basic PF, the proposed IPF algorithm shows improvement in fairness as well as acceptable progress in system’s throughput. Keywords: LTE, Downlink, Resource Allocation, Scheduling, Proportional Fair, Fuzzy-based Priority Determination, Intelligent Proportional Fair.