Pilot Contamination Elimination for Channel Estimation with Complete Knowledge of Large-Scale Fading in Downlink Massive MIMO Systems

TL;DR

This paper proposes a novel channel estimation method for massive MIMO systems that uses complete large-scale fading knowledge and orthogonal pilot reuse to eliminate pilot contamination, improving downlink data rates.

Contribution

It introduces a pilot contamination elimination technique leveraging large-scale fading information and orthogonal pilot reuse, enhancing channel estimation accuracy in massive MIMO systems.

Findings

Achieves higher downlink data rates with improved channel estimation.

Effectively mitigates pilot contamination for edge users.

Demonstrates near-infinite antenna performance bounds.

Abstract

Massive multiple-input multiple-output is a very important technology for future fifth-generation systems. However, massive massive multiple input multiple output systems are still limited because of pilot contamination, impacting the data rate due to the non-orthogonality of pilot sequences transmitted by users in the same cell to the neighboring cells. We propose a channel estimation with complete knowledge of large-scale fading by using an orthogonal pilot reuse sequence to eliminate PC in edge users with poor channel quality based on the estimation of large-scale fading and performance analysis of maximum ratio transmission and zero forcing precoding methods. We derived the lower bounds on the achievable downlink DR and signal-to-interference noise ratio based on assigning PRS to a user grouping that mitigated this problem when the number of antenna elements approaches infinity The simulation results showed that a high DR can be achieved due to better channel estimation and reduced performance loss