A semi-blind algorithm based on expectation propagation (EP) is proposed for multi-cell massive MIMO systems with spatially and temporally correlated channels. The performance of the algorithm in channel estimation and data detection is obtained from simulations and compared to other approaches. The results show that with only K pilots, where K is the number of users in the cell, the channel estimation performance of the proposed method approaches a lower bound as the number of BS antennas or the number of data symbols per frame increase. As expected, for time-varying channels, the proposed algorithm clearly outperforms those designed for block-fading channel models
We propose an iterative algorithm based on expectation maximization (EM) to jointly estimate the sys...
Abstract — We consider channel estimation in multiple-input multiple-output (MIMO) systems using ite...
Expectation propagation (EP) has been recently proposed as a low-complexity algorithm for symbol det...
We study the problem of semi-blind channel estimation and symbol detection in the uplink of multi-ce...
We study the problem of semi-blind channel estimation and symbol detection in the uplink of multi-ce...
A channel estimation method was recently proposed for multi-cell massive MIMO systems based on the e...
Massive MIMO systems exploit the favorable propagation condition of the radio channel, whereby the v...
There are three parts to this thesis. In the first part, we study the channel estimation problem in ...
We propose a joint channel estimation and data detection (JED) algorithm for densely-populated cell-...
In this paper we consider cell-free (CF) massive MIMO (MaMIMO) systems, which comprise a very large ...
This paper presents a channel estimation and tracking method for correlated block-fading channels in...
Abstract — We consider channel estimation in multiple-input multiple-output (MIMO) systems using ite...
International audienceIn this paper, we consider large-scale MIMO systems and we address the channel...
We propose a joint channel estimation and data detection (JED) algorithm for cell-free massive multi...
This paper represents an efficient expectation-maximization (EM) algorithm based maximum a posterior...
We propose an iterative algorithm based on expectation maximization (EM) to jointly estimate the sys...
Abstract — We consider channel estimation in multiple-input multiple-output (MIMO) systems using ite...
Expectation propagation (EP) has been recently proposed as a low-complexity algorithm for symbol det...
We study the problem of semi-blind channel estimation and symbol detection in the uplink of multi-ce...
We study the problem of semi-blind channel estimation and symbol detection in the uplink of multi-ce...
A channel estimation method was recently proposed for multi-cell massive MIMO systems based on the e...
Massive MIMO systems exploit the favorable propagation condition of the radio channel, whereby the v...
There are three parts to this thesis. In the first part, we study the channel estimation problem in ...
We propose a joint channel estimation and data detection (JED) algorithm for densely-populated cell-...
In this paper we consider cell-free (CF) massive MIMO (MaMIMO) systems, which comprise a very large ...
This paper presents a channel estimation and tracking method for correlated block-fading channels in...
Abstract — We consider channel estimation in multiple-input multiple-output (MIMO) systems using ite...
International audienceIn this paper, we consider large-scale MIMO systems and we address the channel...
We propose a joint channel estimation and data detection (JED) algorithm for cell-free massive multi...
This paper represents an efficient expectation-maximization (EM) algorithm based maximum a posterior...
We propose an iterative algorithm based on expectation maximization (EM) to jointly estimate the sys...
Abstract — We consider channel estimation in multiple-input multiple-output (MIMO) systems using ite...
Expectation propagation (EP) has been recently proposed as a low-complexity algorithm for symbol det...