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In this paper, we derive the Bayes-Optimal estimator based on approximate message passing (AMP) algorithm in massive multiple-input multiple-output (MIMO) systems, which requires statistical channel state information (CSI). According to the analysis of channel model in beam domain, the covariance matrix is derived for CSI acquisition. With the aid of statistical CSI, the convergence of the proposed...
We propose adjustable phase shift pilots (APSPs) for channel acquisition in wideband massive multiple-input multiple-output (MIMO) systems employing orthogonal frequency division multiplexing (OFDM) to reduce the pilot overhead. Based on a physically motivated channel model, we first establish a relationship between channel space-frequency correlations and the channel power angle-delay spectrum in...
This paper investigates low complexity detection for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems with co-channel interference (CCI). We firstly derive minimum mean square error (MMSE) detection based on sorted QR decomposition (SQRD) and modified MMSE SQRD detection for MIMO-OFDM systems with CCI. Although better performance can be achieved by the...
Massive Multiple-Input and Multiple-Output (MIMO) technology that employs a very large number of antennas at the base station (BS), serves relatively fewer users jointly and simultaneously. Adaptive transmission technique in a large-scale MIMO wireless communication systems, can further enhance the reliability of the transmission links and improve the spectrum efficiency. This paper is based on beam...
This paper studies the statistical channel state information (CSI) acquisition in single-cell for massive multiuser multiple-input multiple-output (MIMO) system in the beam domain. Compared with the Bayesian channel estimation which models the channels by an independent and identically Gaussian-mixture (GM) distribution, we model the channels by an independent and non-identically Gaussian distribution...
We propose adjustable phase shift pilots (APSPs) for wideband massive multiple-input multiple-output (MIMO) systems employing orthogonal frequency division multiplexing (OFDM) to reduce the pilot overhead. Based on a physically motivated channel model, we first establish a relationship between channel space-frequency correlations and the channel power angle-delay (AD) spectrum in the massive antenna...
In this paper, we propose a coordinated pilot reuse (CPR) scheme for multi-cell massive multi-input multi-output systems to reduce the pilot overhead. Unlike the conventional pilot reuse scheme which allows pilots to be reused only among different cells, CPR allows inter- and/or intra-cell user equipments to reuse the same pilots, efficiently reducing the pilot overhead. For the spatially correlated...
In this paper we propose efficient channel estimation for Long Term Evolution (LTE) uplink multi-user (MU) over frequency-selective fading multiple-input multiple-output (MIMO) channels. By exploiting the properties of reference signals (RS), we find a special form of signal model. Based on the special form, firstly, we propose a low complexity spline interpolation based channel estimator. Then, to...
We investigate channel estimation for long term evolution (LTE) uplink over frequency-selective fading multiple-input multiple-output (MIMO) channels. As the conventional DFT-based channel estimation algorithm used for obtaining the channel impulse response (CIR) in wide band may not be applicable in narrow band of LTE uplink, which results an irreducible error floor, we propose an novel channel estimation...
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