Performance analysis of LTE-high speed railway networks using ginibre point process

Abstract

This paper deals with capacity analysis of High Speed Railway (HSR) communications that utilizes massive multiple-input multiple-output (MIMO) systems. It is known that the users in the train are communicated with the base station by using massive co-located antennas mounted on top of the train termed as Mobile Gateway (MG). The spatial structure of transmitters in wireless networks is used for analyzing the mutual interference and hence the performance has been analyzed. The distance between Base Station (BS) and Mobile Gateway antenna is modeled by the point process. The Ginibre point process (GPP) model is a newly proposed model in this paper for the random occurrences of nodes or users, considering repulsion. s-GPP, is a special class of GPP is proposed in this paper for wireless networks with repulsion. We derived the closed form expression for Ergodic capacity analysis using s-GPP. The optimum number of antennas on the train can be found by maximizing the average cell capacity. It is observed that GPP provides a realistic model for wireless networks than Poisson Point Process (PPP). It is inferred that by varying the value of s the repulsion is controlled and the capacity has been increased. The theoretical results are validated via simulation results.