EM-Based Estimation and Compensation of Phase Noise in Massive-MIMO Uplink Communications

by   Alberto Tarable, et al.

Phase noise (PN) is a major disturbance in MIMO systems, where the contribution of different oscillators at the transmitter and the receiver side may degrade the overall performance and offset the gains offered by MIMO techniques. This is even more crucial in the case of massive MIMO, since the number of PN sources may increase considerably. In this work, we propose an iterative receiver based on the application of the expectation-maximization algorithm. We consider a massive MIMO framework with a general association of oscillators to antennas, and include other channel disturbances like imperfect channel state information and Rician block fading. At each receiver iteration, given the information on the transmitted symbols, steepest descent is used to estimate the PN samples, with an optimized adaptive step size and a threshold-based stopping rule. The results obtained for several test cases show how the bit error rate and mean square error can benefit from the proposed phase-detection algorithm, even to the point of reaching the same performance as in the case where no PN is present. Further analysis of the results allow to draw some useful trade-offs respecting final performance and consumption of resources.


page 1

page 2

page 3

page 4


Performance Analysis of Quantized Uplink Massive MIMO-OFDM With Oversampling Under Adjacent Channel Interference

Massive multiple-input multiple-output (MIMO) systems have attracted muc...

A Variational Bayesian Perspective on Massive MIMO Detection

Optimal data detection in massive multiple-input multiple-output (MIMO) ...

Implementation of Massive MIMO Uplink Receiver on RaPro Prototyping Platform

The updated physical layer standard of the fifth generation wireless com...

LMMSE Receivers in Uplink Massive MIMO Systems with Correlated Rician Fading

We carry out a theoretical analysis of the uplink (UL) of a massive MIMO...

Performance Analysis of 1-Bit Massive MIMO with Superimposed Pilots

In this work, we consider a 1-bit quantized Massive MIMO channel with su...

Massive MIMO Unsourced Random Access

We consider an extension of the massive unsourced random access original...

Blind Joint MIMO Channel Estimation and Decoding

We propose a method for MIMO decoding when channel state information (CS...

Please sign up or login with your details

Forgot password? Click here to reset