Measurement-Based Massive MIMO Channel Modeling for Outdoor LoS and NLoS Environments

Chen, Jiajing; Yin, Xuefeng; Cai, Xuesong; Wang, Stephen

doi:10.1109/access.2017.2652983

Cited by 62 publications

(46 citation statements)

References 47 publications

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“…It can easily be shown that the Doppler shift for any path (i) is given by the formulas (20) or (21) [13,14]. Equation (21) follows (20), since the last term in (20) is much smaller than the first one.…”

Section: Rementioning

confidence: 99%

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Development of a complex mathematical model of the state of a channel of multi-antenna radio communication systems

Kalantaievska

Kuvshynov

Shyshatskyi

et al. 2019

EEJET

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Section: Rementioning

confidence: 99%

“…In the article [14], the authors proposed a model of the MIMO system. The proposed mathematical model is designed to calculate signal propagation parameters, namely, delay and arrival direction.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a complex mathematical model of the state of a channel of multi-antenna radio communication systems

Kalantaievska

Kuvshynov

Shyshatskyi

et al. 2019

EEJET

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“…This necessitats the spherical wave propagation [12] model; iv) It is possible that the gain (not just phases) of propagation paths evolve [13], [14] across the array elements. The so-called spatial non-stationarity in path gainmust be considered as well.…”

Section: Introductionmentioning

confidence: 99%

“…It is not practical anymore to assume the 2D propagation. That is, the elevation angels of MPCs [11] should be considered;iii) The mm-wavelength and large array aperture can result in the Fraunhofer far-field distance up to tens or hundreds of meters, which is significantly increased compared to the previous systems.This necessitats the spherical wave propagation [12] model; iv) It is possible that the gain (not just phases) of propagation paths evolve [13], [14] across the array elements. The so-called spatial non-stationarity in path gainmust be considered as well.…”

mentioning

confidence: 99%

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A Complexity-Efficient High Resolution Propagation Parameter Estimation Algorithm for Ultra-Wideband Large-Scale Uniform Circular Array

Cai

Fan

2019

IEEE Trans. Commun.

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Millimeter wave (mm-wave) communication with large-scale antenna array configuration is seen as the key enabler of the next generation communication systems. Accurate knowledge of the mmwave propagation channels is fundamental and essential. In this contribution, a novel complexityefficient high resolution parameter estimation (HRPE) algorithm is proposed for the mm-wave channel with large-scale uniform circular array (UCA) applied. The proposed algorithm is able to obtain the high-resolution estimation results of the spherical channel propagation parameters. The prior channel information in the delay domain, i.e., the delay trajectories of individual propagation paths observed across the array elements, is exploited, by combining the high-resolution estimation principle and the phase mode excitation technique. Fast initializations, effective interference cancellations and reduced searching spaces achieved by the proposed schemes significantly decrease the algorithm complexity. Furthermore, the channel spatial non-stationarity across the array elements is considered for the first time in the literature for propagation parameter estimation, which is beneficial to obtain more realistic results as well as to decrease the complexity. A mm-wave measurement campaign at the frequency band of 28-30 GHz using a large-scale UCA is exploited to demonstrate and validate the proposed HRPE algorithm.X. Cai and W. Fan are with the APMS section at the Index terms-Millimeter-wave, ultra-wideband, large-scale uniform circular array, spatial nonstationarity and channel parameter estimation. I. INTRODUCTIONWhile the next generation communication system (5G) is still on its ascendant, millimeter wave (mm-wave) communication has been seen as the key enabling component due to the vast amount of available spectrum [1]-[3]. However, the air attenuation, small antenna aperture etc. would result in severe power loss [4] for the mm-wave propagations, compared to the sub-6 GHz frequency bands with rich multipath components (MPCs) [5]. Nevertheless, the mm-wavelength makes it practical to pack massive antennas [6] in a small area to form large scale antenna arrays. Beamforming [7] and beam-selection [2] techniques can be exploited to compensate the power loss and to enhance the spectrum efficiency through spatial multiplexing. Furthermore, applications such as localization, tracking and surrounding environment reconstruction [8] are promising, e.g., to help vision-disabled people.To enable the advanced 5G mm-wave techniques and applications, accurate and realistic channel models are fundamental and essential. The establishment of effective mm-wave channel models relies on the comprehensive channel measurements and the channel characteristics extracted from the measured data. In the mm-wave propagations with large scale antenna array configurations, the assumptions applied for the previous generation communication systems (e.g. the Long Term Evolution system) are violated. i) The narrowband assumption [9] is invalid due to the ultrawide system...

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A survey of 5G millimeter wave, massive multiple‐input multiple‐output, and vehicle‐to‐vehicle channel measurements and models

Eldowek

Bauomy

El‐Rabaie

et al. 2021

Int J Communication

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There is no doubt that the world evolves nowadays in the digital communications era. This opens the horizon to research and investment in new promising technologies like 5G and beyond cellular networks that are able to increase the subscribers' data rates in all communication systems. The aim of 5G and beyond cellular networks is to provide anywhere and anytime connectivity. By combining the enormous available bandwidth in millimeter wave (mmWave) frequencies with high multiplexing gains achieved by large antenna arrays in multiple-input multiple-output (MIMO) systems, these technologies can significantly improve network throughput, increase network power, boost energy and spectral efficiency, and enhance network coverage. Furthermore, ultrareliable vehicular communication and high capacity would be essential features of communication networks beyond 5G. Fortunately, when vehicles are moving on the road and communicating with each other, the vehicular communication issue becomes more challenging. Among the several new technologies expected to play significant roles in the 5G and beyond systems, this paper focused on summarizing the state-of-the-art mmWave, vehicle-to-vehicle (V2V), and massive MIMO measurements and models. We introduce a detailed overview of each of the three technologies individually. Besides, novel taxonomies for the 5G channel measurements, objectives, and model types are provided. We expect that mmWave-based massive MIMO technology enables real-time channel estimation and ultra-precise beamforming, and thus enables better service coverage. Finally, challenges and future research directions for 5G channel measurements and models are presented.

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Measurement-Based Massive MIMO Channel Modeling for Outdoor LoS and NLoS Environments

Cited by 62 publications

References 47 publications

Development of a complex mathematical model of the state of a channel of multi-antenna radio communication systems

Development of a complex mathematical model of the state of a channel of multi-antenna radio communication systems

A Complexity-Efficient High Resolution Propagation Parameter Estimation Algorithm for Ultra-Wideband Large-Scale Uniform Circular Array

A survey of 5G millimeter wave, massive multiple‐input multiple‐output, and vehicle‐to‐vehicle channel measurements and models

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