RF impairments in wireless transceivers: Phase noise, CFO, and IQ imbalance–A survey

A Mohammadian, C Tellambura - IEEE access, 2021 - ieeexplore.ieee.org
Wireless transceivers for mass-market applications must be cost effective. We may achieve
this goal by deploying non-ideal low-cost radio frequency (RF) analog components …

Learning with limited samples: Meta-learning and applications to communication systems

L Chen, ST Jose, I Nikoloska, S Park… - … and Trends® in …, 2023 - nowpublishers.com
Deep learning has achieved remarkable success in many machine learning tasks such as
image classification, speech recognition, and game playing. However, these breakthroughs …

Learning to demodulate from few pilots via offline and online meta-learning

S Park, H Jang, O Simeone… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper considers an Internet-of-Things (IoT) scenario in which devices sporadically
transmit short packets with few pilot symbols over a fading channel. Devices are …

On the uplink achievable rate of massive MIMO system with low-resolution ADC and RF impairments

L Xu, X Lu, S Jin, F Gao, Y Zhu - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
This letter considers channel estimation and uplink achievable rate of the coarsely
quantized massive multiple-input multiple-output (MIMO) system with radio frequency (RF) …

Calibrating AI models for wireless communications via conformal prediction

KM Cohen, S Park, O Simeone… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
When used in complex engineered systems, such as communication networks, artificial
intelligence (AI) models should be not only as accurate as possible, but also well calibrated …

Bayesian active meta-learning for reliable and efficient AI-based demodulation

KM Cohen, S Park, O Simeone… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Two of the main principles underlying the life cycle of an artificial intelligence (AI) module in
communication networks are adaptation and monitoring. Adaptation refers to the need to …

Digital compensation of frequency-dependent joint Tx/Rx I/Q imbalance in OFDM systems under high mobility

B Narasimhan, D Wang, S Narayanan… - IEEE Journal of …, 2009 - ieeexplore.ieee.org
Direct conversion orthogonal frequency division multiplexing (OFDM) systems suffer from
transmit and receive analog processing impairments such as in-phase/quadrature (I/Q) …

Channel estimation with pilot reuse in IQ imbalanced massive MIMO

Y Chen, L You, X Gao, XG Xia - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we investigate channel estimation with pilot reuse for massive MIMO with in-
phase and quadrature-phase imbalances (IQI). Firstly, we obtain an augmented real-valued …

Learning to learn to demodulate with uncertainty quantification via bayesian meta-learning

KM Cohen, S Park, O Simeone… - WSA 2021; 25th …, 2021 - ieeexplore.ieee.org
Meta-learning, or learning to learn, offers a principled framework for few-shot learning. It
leverages data from multiple related learning tasks to infer an inductive bias that enables …

Pilot designs for channel estimation of MIMO OFDM systems with frequency-dependent I/Q imbalances

H Minn, D Munoz - IEEE Transactions on Communications, 2010 - ieeexplore.ieee.org
Multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM)
systems facilitate high data rate wireless communications, and require reliable channel …