A message passing approach to acquire mm-Wave channel state information based on out-of-band data

Y Xiu, W Wang, Z Zhang - IEEE Access, 2018 - ieeexplore.ieee.org
Millimeter-wave (mm-wave) communication is a practicable scheme for big data
communication, such as next-generation cellular communication. However, because mm …

Clustered sparse channel estimation for massive MIMO systems by expectation maximization-propagation (EM-EP)

M Rashid, M Naraghi-Pour - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
We study the problem of downlink channel estimation in multi-user massive multiple input
multiple output (MIMO) systems. To this end, we consider the use of Bayesian compressive …

Decoupling channel estimation for FDD massive MIMO systems utilizing joint sparsity

X Yan, L Chen, H Yin, W Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Effective channel estimation for massive multiple-input-multiple-output (MIMO) systems
based on frequency division duplex (FDD) protocol is a crucial problem. To reduce pilot …

Nonlinear channel estimation for Internet of Vehicles

L Zhiguo, Q Meng, S Hongxiang - Applied Mathematics and Nonlinear …, 2023 - sciendo.com
In order to reduce the power consumption, the Internet of Vehicles (IoV) system mostly
adopts the modulation method of a single parameter such as phase. However, in scenarios …

[图书][B] Channel estimation in multi-user massive MIMO systems by expectation propagation based algorithms

M Rashid - 2021 - search.proquest.com
Massive multiple input multiple output (MIMO) technology uses large antenna arrays with
tens or hundreds of antennas at the base station (BS) to achieve high spectral efficiency …

[PDF][PDF] Applied Mathematics and Nonlinear Sciences

L Zhiguo, Q Meng, S Hongxiang - scholar.archive.org
In order to reduce the power consumption, the Internet of Vehicles (IoV) system mostly
adopts the modulation method of a single parameter such as phase. However, in scenarios …