Millimeter-Wave Intra-Cluster Channel Model for In-Room Access Scenarios

Kim, Minseok; Kishimoto, Satoru; Yamakawa, Satoshi; Guan, Ke

doi:10.1109/access.2020.2991044

Cited by 16 publications

(18 citation statements)

References 21 publications

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“…In [9], the authors calculate the RSSI in the case of indoor communication where the transceiver is equipped to perform various beamforming techniques. The paper [9] considers indoor communication at 60 GHz, and the distance between the transmitter and receiver is 7 m. Similarly, the authors in [10] perform ray-tracing simulation considering the directional antennas for the indoor communication environment at 60 GHz and record the values of the RSSI for the different receiver locations up to a distance of 8 m. The results from [9,10] and the FSPL are compared to the RSSI values obtained through the RT simulation performed with the HVAC duct, without considering any air flowing, with air having a temperature of 30.15 K and with air having moisture vapor density of 1140 g/m 3 in Fig. 9.…”

Section: Resultsmentioning

confidence: 99%

“…It was suggested to incorporate directional antenna with high gain capable of performing beamforming for the 60 GHz indoor communication systems. In [9], a millimeter-wave quasi-deterministic (Q-D) channel model for an in-room access scenarios were developed with double-directional channel measurements using a custom developed channel sounder at 58.5 GHz. From the measured data, the multi-path components were extracted, and an intra-cluster model was developed based on the actual physical propagation paths to identify the scattering processes explicitly on the rough surfaces.…”

Section: Introductionmentioning

confidence: 99%

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EVALUATING PERFORMANCE OF HEATING, VENTILATION & AIR CONDITIONING DUCT COMMUNICATION CHANNEL AT 60 GHZ USING RAY TRACING

Bangar¹,

Kiasaleh²

2021

PIER C

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In this paper, we developed a 3-dimensional (3D) ray-tracing simulator using MATLAB for establishing the viability of heating, ventilation, and air conditioning (HVAC) ducts as a reliable communication channel for indoor communication at millimeter-wave (mm-wave) frequencies. We present theoretical analysis of image theory ray-tracing and provide the equations for total electric field due to different rays undergoing reflections at the duct walls. We also computed the received signal strength indicator (RSSI) for the dry and moisture-laden air flowing through the HVAC ducts. The ray-tracing results are compared with the experimental and theoretical results we obtained for the HVAC ducts. With transmitter effective isotropic radiated power (EIRP) of 7 dBm, we obtain RSSI which varies between −34 dBm and −53 dBm for dry atmospheric pressure and temperature of 1013.25 hPa and 294.26 K, respectively, and duct lengths of up to 8 m at 60 GHz.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

EVALUATING PERFORMANCE OF HEATING, VENTILATION & AIR CONDITIONING DUCT COMMUNICATION CHANNEL AT 60 GHZ USING RAY TRACING

Bangar¹,

Kiasaleh²

2021

PIER C

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“…A THz channel has disparate properties from the relatively well-studied cmWave [11] and mmWave channels [140]- [143] which makes studying and modeling such channels a unique proposition. Some of the unique features of a THz channel that augments the challenge can be summarized as • As opposed to other bands for communication, in the THz band significant power is present not only in the LoS path but also in reflected paths (up to double bounce), scattered and diffracted paths, and hence it would not be prudent to simply ignore them while modeling the channel [144].…”

Section: Channel Modeling In Thz Bandmentioning

confidence: 99%

THz Channel Sounding and Modeling Techniques: An Overview

Ghosh

Kim

2023

IEEE Access

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As the world warms up to the idea of millimeter wave (mmWave) communication and fifth generation (5G) mobile networks, realization slowly dawns that the data rate, latency, throughput, and other performance metrics that are used to assess a new wireless communication technology will not be enough to support the demands of envisioned futuristic applications. Thus there is an eagerness to further climb up the frequency ladder to use the large swathes of available spectrum in the 0.1 − 10 THz band which is expected to act as the key technology enabler to fulfill the requirements of the sixth generation (6G) wireless communication and possibly even beyond. Channel measurement and modeling are crucial to the design and deployment of future wireless communication systems and researchers across the world are putting their best foot forward to accelerate the process. The present article presents comprehensive assimilation of research efforts in the context of THz channel sounding. A detailed overview of the current channel sounding techniques is first introduced followed by their relevance to THz band channel measurement. An in-house novel channel sounder developed for THz band measurement is also briefly introduced in this context. The paper next provides elaborate dissemination of various measurement campaigns in the band of interest followed by the modeling techniques that are available in the literature and are being adopted for the THz band. Post the description of different challenges and future research directions in the context of sounding, measurement, and modeling the article is concluded.

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“…The instantaneous power can be obtained by P l = |α l | 2 . For the initialization of SAGE, we define the number of MPCs as 50, which resides in a reasonable range according to prior works [32]. As shown in Fig.…”

Section: B Mpc Estimationmentioning

confidence: 99%

Cluster-based Characterization and Modeling for UAV Air-to-Ground Time-Varying Channels

Cui¹,

Guan²,

Oestges³

et al. 2021

Preprint

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With the deep integration between the unmanned aerial vehicle (UAV) and wireless communication, UAV-based air-to-ground (AG) propagation channels need more detailed descriptions and accurate models. In this paper, we aim to perform cluster-based characterization and modeling for AG channels. To our best knowledge, this is the first study that concentrates on the clustering and tracking of multipath components (MPCs) for time-varying AG channels. Based on measurement data at 6.5 GHz with 500 MHz of bandwidth, we first estimate potential MPCs utilizing the space-alternating generalized expectationmaximization (SAGE) algorithm. Then, we cluster the extracted MPCs considering their static and dynamic characteristics by employing K-Power-Means (KPM) algorithm under multipath component distance (MCD) measure. For characterizing timevariant clusters, we exploit a clustering-based tracking (CBT) method, which efficiently quantifies the survival lengths of clusters. Ultimately, we establish a cluster-based channel model, and validations illustrate the accuracy of the proposed model. This work not only promotes a better understanding of AG propagation channels but also provides a general cluster-based AG channel model with certain extensibility.

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Millimeter-Wave Intra-Cluster Channel Model for In-Room Access Scenarios

Cited by 16 publications

References 21 publications

EVALUATING PERFORMANCE OF HEATING, VENTILATION & AIR CONDITIONING DUCT COMMUNICATION CHANNEL AT 60 GHZ USING RAY TRACING

EVALUATING PERFORMANCE OF HEATING, VENTILATION & AIR CONDITIONING DUCT COMMUNICATION CHANNEL AT 60 GHZ USING RAY TRACING

THz Channel Sounding and Modeling Techniques: An Overview

Cluster-based Characterization and Modeling for UAV Air-to-Ground Time-Varying Channels

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