To Improve QoS of Dense Network using Deep Learning

Abstract

The 5G networks must provide improved support for a variety of services under various traffic loads and end user communities. This will be assured by selection of efficient and reliable protocol in designing the network. This in turn improves quality of service. This paper presents behavior of routing protocols in DV, DSR and OLSR deployed in the network. The simulation is carried using NS-3 to evaluate the performance in terms of delay and throughput. It is concluded that OSLR gives better performance. Further, deep learning algorithm will adaptively adjust network functionality against time-varying traffic workload.