Variational Bayes' joint channel estimation and soft symbol decoding for uplink massive MIMO systems with low resolution ADCs

SS Thoota, CR Murthy - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
We consider the problem of joint channel estimation and data decoding in uplink massive
multiple input multiple output systems with low resolution analog-to-digital converters …

Bayesian channel estimation and data detection in oversampled OFDM receiver with low-resolution ADC

X Cheng, B Xia, K Xu, S Li - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
This paper focuses on a novel orthogonal frequency division multiplexing (OFDM) receiver
architecture, which uses a low-resolution analog-to-digital converter (ADC) to oversample …

On minimizing symbol error rate over fading channels with low-resolution quantization

NI Bernardo, J Zhu, J Evans - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We analyze the symbol error probability (SEP) of-ary pulse amplitude modulation (-PAM)
receivers equipped with optimal low-resolution quantizers. We first show that the optimum …

[PDF][PDF] Evaluation of different quantization resolution levels on the BER performance of massive MIMO systems under different operating scenarios

HK Al-Qaysi, T Mahmood… - Indonesian Journal of …, 2021 - researchgate.net
The massive MIMO system is one of the main technologies in the fifth generation (5G) of
telecommunication systems, also recognized as a highly large-scale system. Constantly in …

MATLAB Modeling of OFDM Modulation Technique Across a 24 kHz, 48 kHz, and 3 MHz Bandwidth in the High-Frequency Radio Band (3-30) MHz

J Myer, T Collins, S Taylor, N Anglero - 2021 - digitalcommons.odu.edu
The goal of this project is to use MATLAB to model orthogonal frequency division
multiplexing (OFDM) modulation technique across 24 kHz, 48 kHz, and 3 MHz bandwidths …