Performance of Massive MIMO Uplink with Zero-Forcing receivers under Delayed Channels
Anastasios K. Papazafeiropoulos, Hien Quoc Ngo, and Tharm Ratnarajah

TL;DR
This paper evaluates the uplink performance of massive MIMO systems with zero-forcing receivers under delayed channels caused by mobility, deriving analytical expressions for rate and outage probability, and analyzing the impact of Doppler shifts.
Contribution
It provides a comprehensive analysis of massive MIMO uplink performance under channel aging, including closed-form rate expressions and insights into Doppler effects.
Findings
Massive MIMO maintains favorable performance despite channel delays.
Doppler shifts significantly impact low SNR regimes.
Power scaling laws hold under channel aging conditions.
Abstract
In this paper, we analyze the performance of the uplink communication of massive multi-cell multiple-input multiple-output (MIMO) systems under the effects of pilot contamination and delayed channels because of terminal mobility. The base stations (BSs) estimate the channels through the uplink training, and then use zero-forcing processing to decode the transmit signals from the users. The probability density function (PDF) of the signal-to-interference-plus-noise ratio is derived for any finite number of antennas. From this PDF, we derive an achievable ergodic rate with a finite number of BS antennas in closed form. Insights of the impact of the Doppler shift (due to terminal mobility) at the low signal-to-noise ratio regimes are exposed. In addition, the effects on the outage probability are investigated. Furthermore, the power scaling law and the asymptotic performance result by…
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