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 …
this goal by deploying non-ideal low-cost radio frequency (RF) analog components …
Learning with limited samples: Meta-learning and applications to communication systems
Deep learning has achieved remarkable success in many machine learning tasks such as
image classification, speech recognition, and game playing. However, these breakthroughs …
image classification, speech recognition, and game playing. However, these breakthroughs …
Learning to demodulate from few pilots via offline and online meta-learning
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 …
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
This letter considers channel estimation and uplink achievable rate of the coarsely
quantized massive multiple-input multiple-output (MIMO) system with radio frequency (RF) …
quantized massive multiple-input multiple-output (MIMO) system with radio frequency (RF) …
Calibrating AI models for wireless communications via conformal prediction
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 …
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
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 …
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) …
transmit and receive analog processing impairments such as in-phase/quadrature (I/Q) …
Channel estimation with pilot reuse in IQ imbalanced massive MIMO
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 …
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
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 …
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 …
systems facilitate high data rate wireless communications, and require reliable channel …