Pilot Precoding and Combining in Multiuser MIMO Networks
Nima N. Moghadam, Hossein Shokri-Ghadikolaei, Gabor Fodor, Mats, Bengtsson, Carlo Fischione

TL;DR
This paper investigates how pilot precoding and combining in mmWave MU-MIMO systems enhance channel estimation and data rates, especially with many antennas and users, by reducing interference and pilot contamination.
Contribution
It introduces a simple second-order statistics-based precoder and linear combiner that improve channel estimation and multiuser interference management in mmWave MU-MIMO systems.
Findings
Precoding reduces channel estimation error variance proportionally to UE antennas.
Combining based on second-order statistics significantly reduces multiuser interference.
Pilot precoding and combining enable more UEs, improve coverage, and mitigate pilot contamination.
Abstract
Although the benefits of precoding and combining of data signals are widely recognized, the potential of these techniques for pilot transmission is not fully understood. This is particularly relevant for multiuser multiple-input multiple-output (MU-MIMO) cellular systems using millimeter-wave (mmWave) communications, where multiple antennas will have to be used both at the transmitter and the receiver to overcome the severe path loss. In this paper, we characterize the gains of pilot precoding and combining in terms of channel estimation quality and achievable data rate. Specifically, we consider three uplink pilot transmission scenarios in a mmWave MU-MIMO cellular system: 1) non-precoded and uncombined, 2) precoded but uncombined, and 3) precoded and combined. We show that a simple precoder that utilizes only the second-order statistics of the channel reduces the variance of the…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Advanced Wireless Communication Techniques
