Capacity Enhancement Based on Dynamically
Adapted PF Scheduling Algorithm for LTE
Downlink System
Mohammed Abd-Elnaby, Mohamad Elhadad, and El-Sayed
El-Rabaie
Department
of Electronics and Electrical Communications, Menoufia
University, Egypt
Abstract: Orthogonal Frequency Division
Multiplexing (OFDM) with dynamic scheduling and resource allocation is a key
component of most emerging broadband wireless access networks such as Worldwide
Interoperability for Microwave Access (WiMAX) and Long Term Evolution (LTE).
Resource allocation mechanisms in LTE are very critical issues, because
scheduling algorithms have the main responsibility for determining how to
allocate radio resources for different users. In this paper a dynamically adapted
Proportional Fair (PF) scheduling algorithm for capacity enhancement of LTE
system is proposed. Performance comparison with the conventional PF downlink
scheduler, which is characterized by high fairness but with low throughput, and
the Best-Channel Quality Indicator( Best-CQI) scheduling algorithm which is
characterized by high throughput but with poor fairness performance is
presented. Simulation results show that the proposed algorithm enhances the
overall system capacity and also provides fairness in the distribution of the resources.
The proposed algorithm improves the average cell throughput by more than 31 %,
with a slight degradation in the fairness level as compared with the
conventional Proportional Fair PF scheduling algorithm.
Keywords: LTE, packet scheduling, PF, Fairness,
OFDM.
Received April
24, 2015; accepted March 13, 2016