A novel fuzzy scheduler for cell-edge users in LTE-advanced networks using Voronoi algorithm

LTE-Advanced, the 4.5 G technology is built upon 3GPP specifications, is going to rule the wireless network world. This work proposes an energy efficient, QoS-awarescheduler for transmission of real-time data in downlink LTE-advanced networks. A basic LTE-Advanced scheduler has been developed by combining Carrier Aggregation with multi input and multi output (MIMO) features to provide the required bandwidth. We have formulated the scheduling problem as a gain of weighted transmission rates of all possible combinations of various resources required by the channel for transmitting data. The overall process of resource allocation for the downlink scheduling is then optimized using fuzzy rules. The main focus of our study is the cell edge users, and so Voronoi algorithm was used for the first time in LTE-Advanced networks to detect those cell edge users. The results proves that the Carrier Aggregation with MIMO scheduling scheme is energy efficient, QoS-aware and benefits the cell edge users with increased coverage. This scheduling scheme attains excellent throughput with improved fairness for real-time data transmission among the mobile users.