A sparsity adaptive algorithm to recover NB-IoT signal from legacy LTE interference

Y Guo, W Wen, P Wu, M **a - IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
As a forerunner in 5G technologies, Narrowband Internet of Things (NB-IoT) will be
inevitably coexisting with the legacy Long-Term Evolution (LTE) system. Thus, it is …

Bayesian inference-aided channel estimation for hybrid full-dimensional MIMO systems

H Huang, P Wu, M **a - IEEE Wireless Communications Letters, 2022 - ieeexplore.ieee.org
Efficient channel estimation is challenging in full-dimensional multiple-input multiple-output
communication systems, particularly in those with hybrid digital-analog architectures. Under …

Iterative Adaptively Regularized LASSO-ADMM Algorithm for CFAR Estimation of Sparse Signals: IAR-LASSO-ADMM-CFAR Algorithm

H Yi, Y Xu, W Zhang, H Xu - arxiv preprint arxiv:2208.11544, 2022 - arxiv.org
The least-absolute shrinkage and selection operator (LASSO) is a regularization technique
for estimating sparse signals of interest emerging in various applications and can be …

Recovering NB-IoT signal from legacy LTE interference via K-means clustering

Y Guo, P Wu, M **a - 2021 IEEE 93rd Vehicular Technology …, 2021 - ieeexplore.ieee.org
As a forerunner in 5G ecosystem construction and industry application, Narrowband Internet
of Things (NB-IoT) will be inevitably coexisting with legacy Long-Term Evolution (LTE) …

Bayesian Compressive Channel Estimation for Hybrid Full-Dimensional MIMO Communications

H Huang, P Wu, M **a - arxiv preprint arxiv:2112.14633, 2021 - arxiv.org
Efficient channel estimation is challenging in full-dimensional multiple-input multiple-output
communication systems, particularly in those with hybrid digital-analog architectures. Under …