Recent Research on Massive MIMO Propagation Channels: A Survey

Zhang, Ping; Chen, Jianqiao; Yang, Xiaoli; Ma, Nan; Zhi, Zhang

doi:10.1109/mcom.2018.1800196

Cited by 56 publications

(36 citation statements)

References 14 publications

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“…Massive MIMO has become a hot research topic in last few years, and, hence, several survey papers related to massive MIMO systems have been published [11], [12], [13], [14], [15], [16]. While these papers review a number of key topics of massive MIMO, none of them extensively discuss the detection techniques.…”

Section: A Relevant Prior Artmentioning

confidence: 99%

“…However, the holistic performance and evaluation of mmWave massive MIMO techniques in real-life scenarios and applications remains an open issue. In [14], an extensive investigation of massive MIMO propagation channels is presented and key differences from the conventional MIMO are discussed. It also reviewed the channel characteristics, measurements and models.…”

Section: A Relevant Prior Artmentioning

confidence: 99%

“…where n = 1, 2, • • • , and ω represents the relaxation parameter that plays a crucial role in the convergence rate. The GS method is a special case of the SOR method [76] where we can obtain (14) from (15) by setting ω = 1. For uplink massive MIMO systems, the signal detection technique using the SOR method is convergent when the relaxation parameter ω satisfies 0 < ω < 2 [77].…”

Section: A Linear Detectors Based On the Approximate Matrix Inversionmentioning

confidence: 99%

See 2 more Smart Citations

Massive MIMO Detection Techniques: A Survey

Albreem

Juntti

Shahabuddin

2019

IEEE Commun. Surv. Tutorials

346

229

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Section: A Relevant Prior Artmentioning

confidence: 99%

Section: A Relevant Prior Artmentioning

confidence: 99%

Section: A Linear Detectors Based On the Approximate Matrix Inversionmentioning

confidence: 99%

See 1 more Smart Citation

Massive MIMO Detection Techniques: A Survey

Albreem

Juntti

Shahabuddin

2019

IEEE Commun. Surv. Tutorials

346

229

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“…is the self-perturbation term. The elements in K (M ) ∈ C K ×K are the random variables with zero mean and variance 1 M . The EVD of self-perturbation is given as…”

Section: ) Self-perturbation Analysismentioning

confidence: 99%

“…Massive multiple-input multiple-output (MIMO) has been viewed as one of the key technologies to boost the system performance in 5G [1]. In the massive MIMO system, a large number of antennas, e.g., even hundreds of antennas, are used to support the high gain beamforming and spatial multiplexing on a large scale.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Semi-Blind Channel Estimation in Multiuser Massive MIMO Systems With Perturbations

Wang

Song

2019

IEEE Access

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In the massive multiple-input multiple-output (MIMO) systems, pilot contamination and signal perturbation are two important issues in the semi-blind channel estimation methods. To evaluate the effects of pilot contamination and signal perturbation, the covariance matrix of the received signal should be obtained. In specific, the eigenvectors associated with the K largest eigenvalues of the ideal covariance matrix, contain the subspace information of the desired signals, in which the interference and partial noise are eliminated because of asymptotic orthogonality of the fading matrix. Since it is quite difficult to acquire the ideal covariance matrix, the sample covariance matrix calculated by the finite data samples is adopted to approximate the ideal covariance matrix in practice. However, the gap between the ideal covariance matrix and the sample covariance matrix leads to signal perturbation. In this paper, the perturbation analysis of a semi-blind channel estimation in the massive MIMO systems is presented. Simulation results verify the validity of our perturbation analysis. Furthermore, it is demonstrated by simulations that signal perturbation affects system performance by reshaping the eigenvectors and eigenvalue distributions of the target cell and interfering cells. INDEX TERMS Massive MIMO, pilot contamination, semi-blind channel estimation, signal perturbation.

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MassiveMIMOChannels

2020

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Massive MIMO (multiple‐input multiple‐output) is a fundamental technology in 5G systems. The characteristics of the radio channel experienced when operating with large antenna arrays differ from those of conventional multiple antenna systems. Hence, it is important to specifically characterize and model the underlying propagation channels with large antenna systems in mind. The channel models need to be realistic and accurate, but of low complexity, in order to be used to develop and assess the performance of future systems in a good way. This article gives an overview of state‐of‐the‐art of massive MIMO channels and related models. First, some fundamentals of massive MIMO propagation, including a comparison between micro‐wave and mm‐wave massive MIMO as well as the influence of user terminals, are provided. Then, channel characteristics that have been shown in measurements to be important in massive MIMO channels are presented. These include spherical wavefronts, nonstationarity, 3D propagation, and polarization effects. Further on, some channel‐dependent characteristics, which are experienced in massive MIMO systems, are in focus. In this article, we outline user separability and channel hardening, as an effect of favorable propagation conditions. Different channel modeling approaches are discussed, including the independent and identically distributed (i.i.d.) complex Gaussian channel model, correlation‐based channel models like the Kronecker and Weichselberger channel models, geometry‐based reference models, geometry‐based stochastic channel models (GSCMs), ray‐tracing and map‐based approaches. A brief overview of recently developed channel models, targeting massive MIMO channels, is also provided. Lastly, we discuss opportunities and challenges related to massive MIMO channels and modeling.

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Recent Research on Massive MIMO Propagation Channels: A Survey

Cited by 56 publications

References 14 publications

Massive MIMO Detection Techniques: A Survey

Massive MIMO Detection Techniques: A Survey

Analysis of Semi-Blind Channel Estimation in Multiuser Massive MIMO Systems With Perturbations

MassiveMIMOChannels

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