Uplink Performance of Conventional and Massive MIMO Cellular Systems with Delayed CSIT
Anastasios K. Papazafeiropoulos, Hien Quoc Ngo, and Tharm Ratnarajah

TL;DR
This paper analyzes the uplink performance of conventional and massive MIMO cellular systems considering delayed CSI and user mobility, deriving closed-form expressions and asymptotic limits to understand the impact of Doppler shifts and pilot contamination.
Contribution
It provides the first analytical closed-form expressions for sum-rate with finite antennas and asymptotic limits considering both pilot contamination and delayed CSI effects.
Findings
Massive MIMO remains advantageous under time-varying channels.
Doppler shifts significantly impact low SNR performance.
Analytical expressions quantify the effects of user mobility on sum-rate.
Abstract
Massive multiple-input multiple-output (MIMO) networks, where the base stations (BSs) are equipped with large number of antennas and serve a number of users simultaneously, are very promising, but suffer from pilot contamination. Despite its importance, delayed channel state information (CSI) due to user mobility, being another degrading factor, lacks investigation in the literature. Hence, we consider an uplink model, where each BS applies zero-forcing decoder, accounting for both effects, but with the focal point on the relative users' movement with regard to the BS antennas. In this setting, analytical closed-form expressions for the sum-rate with finite number of BS antennas, and the asymptotic limits with infinite number of BS antennas epitomize the main contributions. In particular, the probability density function of the signal-to-interference-plus-noise ratio and the ergodic…
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