Millimeter-Wave Channel Measurement and Modeling: A NIST Perspective

Gentile, Camillo; Papazian, Peter B.; Golmie, Nada; Remley, Kate A.; Vouras, Peter; Senic, Jelena; Wang, Jian; Caudill, Derek; Lai, Chieh-Ping; Sun, Ruoyu; Chuang, J.C.-I.

doi:10.1109/mcom.2018.1800222

Cited by 25 publications

(24 citation statements)

References 10 publications

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“…Furthermore, the efficiency of diffraction strongly decreases since common objects throw sharp shadows. Supporting the theoretical speculations, most current mmWave measurements demonstrate that the nature of the channel is sparse and directional (see e.g., [2], [3], and references therein for a taxonomy).…”

Section: Introductionmentioning

confidence: 75%

Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems : (Invited Paper)

Tataria

Tufvesson

2020

2020 14th European Conference on Antennas and Propagation (EuCAP)

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The premise of massive multiple-input multipleoutput (MIMO) is based around coherent transmission and detection. Majority of the vast literature on massive MIMO presents performance evaluations over simplified statistical propagation models. All such models are drop-based and do not ensure continuity of channel parameters. In this paper, we quantify the impact of spatially consistent (SC) models on beamforming for massive MIMO systems. We focus on the downlink of a 28 GHz multiuser urban microcellular scenario. Using the recently standardized Third Generation Partnership Project 38.901 SC-I procedure, we evaluate the signal-to-interference-plus-noise ratio of a user equipment and the system ergodic sum spectral efficiency with zero-forcing, block diagonalization, and signalto-leakage-plus-noise ratio beamforming. Across different user movement trajectories, our results disclose that SC channels yield a significant performance loss relative to the case without SC due to substantial spatial correlation across the channel parameters.

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Section: Introductionmentioning

confidence: 75%

Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems : (Invited Paper)

Tataria

Tufvesson

2020

2020 14th European Conference on Antennas and Propagation (EuCAP)

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“…1(a) is considered. An omnidirectional TX antenna and a directional RX antenna with a beamwidth ranging from 5 • to 29 • scan the 2D angular space with a step fixed to 1 This situation typically occurs in mm-wave while conducting channel modeling experiments with directional antennas [16], [17] or during beam-training process in mm-wave communications to find the strongest link, i.e., the strongest cluster, between a transmitter and a receiver [41], [42]. A 2D PAS is therefore obtained such as shown in Fig.…”

Section: Problem Statementmentioning

confidence: 99%

“…A 3D field f (x) is cut by several angular plane X 2 λ at level λ. The intersections between X 2 λ and f (x) are a set of domain K in (17). While sweeping intensity levels from λ 1 to λ N , the intersection domains K are extended with reconstruction (12).…”

Section: B Watershed Segmentationmentioning

confidence: 99%

“…In mm-waves, analog antenna arrays are typically preferred over full-digital architectures or synthetic array to perform outdoor channel measurements in order to be able to benefit from the array gain before the analog-to-digital conversion of the baseband signal. The procedure is then to scan the whole angular range thanks to beam steering (either electronic [17] or mechanical [16]) or beam switching [17], and therefore obtain a quasi-continuous channel representation in the angular/frequency domain. The angular accuracy of this representation depends on the beamwidth of the antenna array and the angular step size.…”

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confidence: 99%

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Angular Clustering of Millimeter-Wave Propagation Channels With Watershed Transformation

Lyu¹,

Benlarbi-Delaï²,

Ren³

et al. 2022

IEEE Trans. Antennas Propagat.

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An angular clustering method based on image processing is proposed in this paper. It is used to identify clusters in 2D representations of propagation channels. The approach uses operations such as watershed segmentation and is particularly well suited for clustering directional channels obtained by beam-steering at millimeter-wave. This situation occurs for instance with electronic beam-steering using analog antenna arrays during beam training process or during channel modeling measurements using either electronic or mechanical beam-steering. In particular, the proposed technique is used here to cluster two-dimensional power angular spectrum maps. The proposed clustering is unsupervised and is well suited to preserve the shape of clusters by considering the angular connection between neighbor samples, which is useful to obtain more accurate descriptions of channel angular properties. The approach is found to outperform approaches based on K-Power-Means in terms of accuracy as well as computational resources. The technique is assessed in simulation using IEEE 802.11ad channel model and in measurement using experiments conducted at 60 GHz in an indoor environment.Index Terms-propagation channel angular clustering, millimeter wave, watershed transformation, 2D angular measurements at 60 GHz I. INTRODUCTIONR ECENT years have witnessed a growing interest in millimeter waves communications [1]. The spectrum congestion in the lower part of the spectrum and the evergrowing need of higher data rates incited the telecommunication actors to assess the suitability of mm-wave frequency bands to support Gbps wireless communications. During the last decade, several standards have been proposed to operate Manuscript

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“…In this work, we assume that the tags and the receiver (MT) are able to use directional signals transmission and reception 23 to avoid the inherent RF signal attenuation characteristic in frequencies around 60 GHz 24,25 . Indeed, the signal path components in the mmWave band produce scattering and reflection on the surrounding walls (walls, ceiling, ground surface, obstacles).…”

Section: System Model and Datamentioning

confidence: 99%

A novel advanced 3D‐IPS based on mmWaves and SOM‐MLP neural network

TamazirtLotfi

AlilatFarid

AgoulmineNazim

2021

Trans Emerging Tel Tech

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This article proposes a new approach for intelligent indoor 3D positioning that works in the millimeter waves (that constitutes a cornerstone of 5G networks). The solution is based on a combination of a multilayer perceptron network and a self‐organizing map. The solution relies on a precise model of the millimeter frequency channel at 60 GHz and the building of a database of fingerprinting of localization data. The solution approach is based on two parts. In the first part, we specified the target environment for positioning as well as the set of millimeter wave (mmWave) access points (APs) to be deployed in predefined positions. Then, we built a reference database of received signal strengths, azimuths of arrival, and elevations of arrival at each 3D position of the target environment (with a predefined step). The second part of the approach consists of designing a novel neural network architecture that is first trained using the database data and then used to estimate any position in the environment based on the information of the received mmWave signals sent by the different mmWave installed APs. In a normal scenario (without loss of data), the obtained results indicate a millimeter level of the generalization error of the estimated 3D positions. In the case of missing data that may due to potential failures in the system, the obtained accuracy is of the order of 34 cm.

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Millimeter-Wave Channel Measurement and Modeling: A NIST Perspective

Cited by 25 publications

References 10 publications

Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems : (Invited Paper)

Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems : (Invited Paper)

Angular Clustering of Millimeter-Wave Propagation Channels With Watershed Transformation

A novel advanced 3D‐IPS based on mmWaves and SOM‐MLP neural network

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