Dynamic pilot scheduling scheme for 5G outdoor ultra-dense network

5G is envisioned to provide 1000 fold increase in terms of area capacity when compared to today's network. Large part of this promise is going to be fulfilled by ultra dense network(UDN). However, dense network suffers from interference challenges. In this work, we investigated the performance of interference aware dynamic pilot scheduling scheme for UDN using 3D map based channel model. Initial Pilot scheduling has been carried out using location-Aware scheduling scheme which results in minimum tolerable level of channel state information (CSI) error. Following initial schedule, dynamic rescheduling has been carried out by letting 20% of users to move at constant speed towards their respective destination. The impact of different design criteria such as pilot reuse distance, deployment planning, and the frequency of rescheduling (as signaling over head) for various user density and mobility are assessed. Moreover, the probability of successfully rescheduling users within the coherence time has been studied for the dynamic scheduling scheme. Results show that dynamic pilot scheduling scheme has higher probability of successfully rescheduling users in high mobility environment. Furthermore, this work demonstrates that locationaware pilot scheduling with received signal strength (RSS) based rescheduling scheme can be taken as a promising solution to the CSI uncertainty problem so that the full advantage of enabling technologies of 5G can be utilized.