Abstract
Channel dependant scheduling schemes for High Speed Downlink Packet Access (HSDPA) system such as Max CIR and Proportional Fairness (PF) have been proven to provide a significant throughput gain by exploiting the channel fluctuations of the users. However, their inability to ensure a fair distribution of the radio resources among the mobile users has been a major concern. In earlier study [6], we proposed a Fair and Efficient Channel Dependent (FECD) algorithm for HSDPA to provide a priority scheduling between users based on their instantaneous channel conditions and their average throughputs. The FECD algorithm aims at increasing the data rates of the users by exploiting the variations of their channel conditions while at the same time ensure a fair distribution of the radio resources. We evaluated the performance of the FECD algorithm in Pedestrian A environment. In this paper, however, we extended our simulation model to include evaluating the proposed algorithm in Vehicle A environment. Simulation results show that the proposed algorithm in both environments outperforms the maximum CIR and the Proportional Fair schemes in terms of providing minimum throughput assurance and, therefore, it has a better degree of fairness.