Priority based Adaptive Random Early Detection Algorithm for Congestion Control in LTE
Long Term Evolution is being widely used now a days for data as well as voice communication. As dependability on communication systems is increasing day by day, Quality of Service is becoming an important factor in any communication technology. There are various issues like congestion, flow control and delay which plays important role in quality of communication. In Long Term Evolution technology there are many techniques available by which congestion can be controlled. Adaptive random early detection is one of them. In this paper an analysis of priority based Adaptive Random Early Detection and Active Queue Management scheme is done for various parameters such as throughput, delay, packet delivery ratio etc. To improve performance of this algorithm a priority based Adaptive random early detection algorithm is proposed which discards packets on the basis of some specific priority when a congestion situation is encountered in the network. It is seen that performance in terms of congestion improves significantly when priority based Adaptive Random Early Detection scheme is used.