Performance analysis of QoS based frequency diversity selectivity scheduling in LTE downlink systems

LTE is a broadband wireless access network offers rich suite of multimedia applications and developed by 3GPP (Third generation partnership project) is designed to support ubiquitous delivery of multimedia services. For this reason, several research groups are trying to optimize its performance. Scheduling and resource allocations are the essential components of wireless data systems. The CSI (channel state information) makes possible to acclimatize transmissions to channel conditions, which is essential for achieving reliable communication with high data rates in systems. Scheduling can attain multi user diversity if CSI is known and make use of frequency diversity if CSI is not available at the transmitter. To assist resource allocation, classification algorithm is used to identify high and low mobility users. Based on the taxonomy, frequency diversity and selectivity scheduling algorithm is proposed to synchronies low mobility user for multi user diversity and high mobility user for frequency diversity. The capacity allocation allocates the total capacity among each of the base stations in an amount that corresponds to the predictable traffic load at each base station. It is verified by simulation that throughput and capacity is increased for the proposed algorithm.