Mm-Wave Massive MIMO Channel Sounding in Industrial IoT Scenarios

Mudonhi, Alfred; Makhoul, Gloria; Lotti, Marina; D’Errico, Raffaele; Oestges, Claude

doi:10.1109/eucnc/6gsummit54941.2022.9815573

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…Nonetheless, DMCs can have a major impact in communication system performance, especially in NLOS scenarios where the DMCs power contribution to the propagation channel is large [7]. In a previous analysis of the measurements used in this paper [8], it was shown that the DMCs power ratio is around 40 % -60 % and the contribution of the DMCs in the NLOS case was larger compared to the LOS case as expected. An accurate modeling of the DMCs can also improve the localization accuracy [9] even allowing to determine the position of a user without any estimated SMCs [10].…”

Section: Introductionsupporting

confidence: 74%

“…The measurement campaign investigated in this study is the same as in [8]. A visualisation of the industrial-like environment can be seen in Fig.…”

Section: Measurement Campaignmentioning

confidence: 99%

“…With SAGE, once the algorithm stops estimating new SMCs following a given criterion, it is possible to deduce the overall DMCs power ratio with the following equation [8]:…”

Section: B Sagementioning

confidence: 99%

“…In this paper, the DMCs parameters are analyzed and its effects on the propagation model parameter estimation are characterized from the measurements carried out in indoor factory [8]. The SAGE SMCs estimated from the previous study [8] are compared with the newly generated RiMAX SMCs. Note that RiMAX provides a DMC distribution with the joint estimation of the SMCs and DMCs.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Space-Time Dense Multipath Components Modeling at mmWaves in Indoor Industrial Environments

Munoz

Makhoul

Gaillot

et al. 2023

2023 17th European Conference on Antennas and Propagation (EuCAP)

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This paper presents the characterization and models of specular and dense multipath components in the millimeter wave channels for industrial scenarios. The results are obtained from measurements covering the 26 -30 GHz bands and employing a massive virtual array. Two different high-resolution algorithms, SAGE and RiMAX, have been employed. Then, a beamforming on the dense component is performed to obtain their angular distribution. The results are compared in terms of large-scale parameter fitting.

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Section: Introductionsupporting

confidence: 74%

“…The measurement campaign investigated in this study is the same as in [8]. A visualisation of the industrial-like environment can be seen in Fig.…”

Section: Measurement Campaignmentioning

confidence: 99%

“…With SAGE, once the algorithm stops estimating new SMCs following a given criterion, it is possible to deduce the overall DMCs power ratio with the following equation [8]:…”

Section: B Sagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Space-Time Dense Multipath Components Modeling at mmWaves in Indoor Industrial Environments

Munoz

Makhoul

Gaillot

et al. 2023

2023 17th European Conference on Antennas and Propagation (EuCAP)

Self Cite

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“…In Refs. [21,22], the authors conducted channel measurements in industrial scenarios. They proposed that no currently defined scenario suits industrial settings, emphasising the need for newly defined scenarios with industry-specific parameter sets.…”

Section: Introductionmentioning

confidence: 99%

Channel measurement and characterisation for 5G multi‐scenarios at 26 and 38 GHz

Wang,

Yang,

Zhu

et al. 2023

IET Microwaves Antenna & Prop

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Millimetre‐wave (mmWave) frequencies play a vital role in fifth‐generation (5G) wireless systems and beyond due to the vast available bandwidth of several GHz. This paper presents channel characteristics and their channel models for mmWave based on extensive channel measurements at 26 and 38 GHz conducted in 5G scenarios, such as the rooftop, the high‐speed railway, and the Industrial Internet of Things scenarios. The channel sounder receiver (Rx) uses an omnidirectional or phased array antenna to meet the requirements of channel measurement, such as recording absolute delay and obtaining 3‐dimensional angular information. We use the classical close‐in model and floating‐intercept model to model path loss. Meanwhile, channel statistics in the delay domain are derived from the measured power delay profiles. Note that the different scenarios are measured with the same channel sounder, making the measurement results of different scenarios comparable. It is shown that the shadow fading parameter σ is 0.7 dB as fewer large scatterers exist in the rooftop scenario. Moreover, due to the significant dependence of delay spread on the geometric relationship between the transmitter (Tx), Rx, and surrounding environment, the statistical data in the delay domain varies significantly in different scenarios. The channel characteristics and models will guide future air‐interface, beamforming, and transceiver designs for 5G and beyond.

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Cooperative Sensing of Side Lobes Interference for mmWave Blockages Localization and Mapping

Dakdouk,

Sana,

Denis

2024

2024 Joint European Conference on Networks and Communications &Amp;amp; 6G Summit (EuCNC/6G Summit)

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Mm-Wave Massive MIMO Channel Sounding in Industrial IoT Scenarios

Cited by 7 publications

References 14 publications

Space-Time Dense Multipath Components Modeling at mmWaves in Indoor Industrial Environments

Space-Time Dense Multipath Components Modeling at mmWaves in Indoor Industrial Environments

Channel measurement and characterisation for 5G multi‐scenarios at 26 and 38 GHz

Cooperative Sensing of Side Lobes Interference for mmWave Blockages Localization and Mapping

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