Channel estimation aware performance analysis for massive MIMO with Rician fading

P Liu, D Kong, J Ding, Y Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, by considering the average mean squared error (AMSE) of channel estimation,
we primarily obtain the closed-from expressions of the probability density function (PDF) and …

An angular parameter estimation method for incoherently distributed sources via generalized shift invariance

R Cao, F Gao, X Zhang - IEEE Transactions on Signal …, 2016 - ieeexplore.ieee.org
This paper proposes a new algorithm to estimate the nominal direction-of-arrival (DOA) and
the angular spread of multiple incoherently distributed (ID) sources. With the general array …

Over-the-air design of GAN training for mmWave MIMO channel estimation

AS Doshi, M Gupta, JG Andrews - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Future wireless systems are trending towards higher carrier frequencies that offer larger
communication bandwidth but necessitate the use of large antenna arrays. Signal …

[HTML][HTML] Compressive sensing-based sparsity adaptive channel estimation for 5G massive MIMO systems

I Khan, M Singh, D Singh - Applied Sciences, 2018 - mdpi.com
Aiming at a massive multi-input multi-output (MIMO) system with unknown channel path
number, a sparse adaptive compressed sensing channel estimation algorithm is proposed …

Real-time throughput prediction for cognitive Wi-Fi networks

MA Khan, R Hamila, NA Al-Emadi, S Kiranyaz… - Journal of Network and …, 2020 - Elsevier
Wi-Fi as a wireless networking technology has become a widely acceptable commonplace.
Over the course of time, the applications landscape of Wi-Fi networks is growing …

Performance analysis of coded massive MIMO-OFDM systems using effective matrix inversion

AJ Al-Askery, CC Tsimenidis… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In this paper, we derive the bit error rate and pairwise error probability (PEP) for massive
multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) …

MIMO detection with imperfect channel state information using expectation propagation

K Ghavami, M Naraghi-Pour - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
Expectation propagation (EP) has been recently proposed as a low-complexity algorithm for
symbol detection in massive MIMO systems, where its performance is evaluated on the …

Pilot decontamination in noncooperative massive MIMO cellular networks based on spatial filtering

Z Gong, C Li, F Jiang - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Pilot contamination has been known as one of the most challenging issues in massive
multiple-input multiple-output (MIMO) systems. Every user will experience interferences from …

Beamspace selection in multi-user massive MIMO

V Molodtsov, R Bychkov, A Osinsky, D Yarotsky… - IEEE …, 2023 - ieeexplore.ieee.org
In this paper, we propose new Discrete Fourier Transform (DFT)-based beamspace
selection algorithms for Massive Multiple Input, Multiple Output (MIMO) receiver operating in …

Performance analysis of deep learning based on recurrent neural networks for channel coding

R Sattiraju, A Weinand… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Channel Coding has been one of the central disciplines driving the success stories of
current generation LTE systems and beyond. In particular, turbo codes are mostly used for …