Improved Pilot Decontamination Scheme for Massive MIMO Networks

Abstract

Improved pilot reuse and channel estimation approaches are proposed in this study to mitigate pilot contamination in massive Multiple input multiple Input (MIMO) net works. Pilot contamination is a major issue in circumstances with a high user density, where interference from adjacent users limits system efficiency. We propose a solution to address this by classifying users into active and idle groups based on their resource needs and channel circumstances, hence prioritizing active users for pilot assignment. A weighted graph coloring approach is used to assign pilot symbols to active users, minimizing interference by allocating neighboring users to distinct pilots. Based on their channel gain, each user’s weight indicates their respective signal strength. In order to improve the quality of channel state information and further minimize contamination, we further investigated channel estimation techniques. The findings of the simulation demonstrate that compared to the weighted graph coloring currently in use, the improved pilot contamination mitigation technique offers notable improvements in spectrum efficiency. In dense network environments, these results show how the suggested methodology may enhance the performance of MIMO systems, offering a workable method for system optimization and resource allocation.