Millimeter-Wave Channel Model Parameters for Various Office Environments

Tsukada, Hibiki; Kumakura, Keiichiro; Tang, Shuaiqin; Kim, Minseok

doi:10.1109/access.2022.3180780

Cited by 10 publications

(11 citation statements)

References 19 publications

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“…Channel models compatible with the 3GPP model in the FR2-2 scenario were developed in various communities. In [31], the statistical parameters of the LSPs in the 3GPP models were derived by measurement in an indoor office scenario in the 60 GHz band. However, this work does not detail the channel-generation flow, where the same channelgeneration flow in the 3GPP model was applied to the capacity analysis.…”

Section: B Channel Parameter Measurements For 3gpp-compatible Channel...mentioning

confidence: 99%

“…In the above equation, 𝐴 E (𝜙) is the element factor given by: 𝐴 E (ϕ) = 8 dBi − min(12(𝜙/𝜙 3dB ) 5 , 𝐴 m ), (31) where 𝜙 3dB = 65° is the half-power beamwidth, and 𝐴 J = 30dB is the front-to-back ratio. The terms 𝑥 and 𝑦 represent the indices of the vertical and horizontal array elements, respectively.…”

Section: B Evaluation Of the Statistical Characteristicsmentioning

confidence: 99%

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3GPP-Compatible Channel Generation Framework for FR2-2 Indoor Short-Range Communication

Koda

Ouyang

Ohmi

et al. 2023

IEEE Open J. Antennas Propag.

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IEEE OJAP encourages responsible authorship practices and the provision of information about the specific contribution of each author. the assumed ICD lies in the aforementioned range [8].Meanwhile, revisiting the standardization history of the communication systems exploiting this FR2-2 band, the 5G NR operated in this band is also likely to support shorterrange communications, that is, wireless personal area network (WPAN)-like or wireless local area network (WLAN)-like scenarios. In more detail, the first standardization activity for the communication system operating at 60 GHz was devoted to realizing mmWave WPAN systems by the IEEE 802.15.3c task group [9]. Therein, indoor scenarios with a communication distance of

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Section: B Channel Parameter Measurements For 3gpp-compatible Channel...mentioning

confidence: 99%

Section: B Evaluation Of the Statistical Characteristicsmentioning

confidence: 99%

3GPP-Compatible Channel Generation Framework for FR2-2 Indoor Short-Range Communication

Koda

Ouyang

Ohmi

et al. 2023

IEEE Open J. Antennas Propag.

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“…In addition, to characterize the scatterers and capture the dynamic nature of the environment additional MPCs are considered. The Q-D channel model has been successfully applied and validated for different applications such as cmWave propagation [242], [252], indoor mmWave propagation [142], [143], [253], indoor sub-THz propaga-tion [96], [122], [231], mmWave Evolution for Backhaul and Access (MiWEBA) [244], [246] and IEEE 802.11ay [254]. In [242], the geometry and routing path of mobile stations were first identified in a virtual cell deployment area (VCDA), following which the delays and DOAs were traced by geometrical means.…”

Section: ) Stochastic-deterministic Hybrid Approachmentioning

confidence: 99%

“…In [143], the propagation channel of a conference room at 60 GHz was characterized by a hybrid model, and various inter-cluster, intra-cluster, and polarization parameters were statistically defined using experimental results and RT simulations. Q-D models were also developed and parameterized for 60 GHz signal propagation for open square [244], non-stationary environment [246], various office environment [142] and in corridor [140]. In all the scenarios, the dominant paths (only two were considered -LoS and ground reflected paths) were considered deterministically whereas the comparatively weaker random reflected rays were modeled stochastically where cluster arrival was modeled as a Poisson process and inter-arrival time as exponentially distributed.…”

Section: ) Stochastic-deterministic Hybrid Approachmentioning

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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“…In [12], indoor path loss measurements in a residential living room at 60 GHz are presented. Radio propagation in office environments is well studied [8,[13][14][15][16][17][18][19][20]. On the other hand, only limited literature is available for path loss models on board of naval vessels [21][22][23].…”

Section: Related Workmentioning

confidence: 99%

Geodesic Path Model for Indoor Propagation Loss Prediction of Narrowband Channels

Kaya

Beelde

Joseph

et al. 2022

Sensors

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Indoor path loss models characterize the attenuation of signals between a transmitting and receiving antenna for a certain frequency and type of environment. Their use ranges from network coverage planning to joint communication and sensing applications such as localization and crowd counting. The need for this proposed geodesic path model comes forth from attempts at path loss-based localization on ships, for which the traditional models do not yield satisfactory path loss predictions. In this work, we present a novel pathfinding-based path loss model, requiring only a simple binary floor map and transmitter locations as input. The approximated propagation path is determined using geodesics, which are constrained shortest distances within path-connected spaces. However, finding geodesic paths from one distinct path-connected space to another is done through a systematic process of choosing space connector points and concatenating parts of the geodesic path. We developed an accompanying tool and present its algorithm which automatically extracts model parameters such as the number of wall crossings on the direct path as well as on the geodesic path, path distance, and direction changes on the corners along the propagation path. Moreover, we validate our model against path loss measurements conducted in two distinct indoor environments using DASH-7 sensor networks operating at 868 MHz. The results are then compared to traditional floor-map-based models. Mean absolute errors as low as 4.79 dB and a standard deviation of the model error of 3.63 dB is achieved in a ship environment, almost half the values of the next best traditional model. Improvements in an office environment are more modest with a mean absolute error of 6.16 dB and a standard deviation of 4.55 dB.

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Millimeter-Wave Channel Model Parameters for Various Office Environments

Cited by 10 publications

References 19 publications

3GPP-Compatible Channel Generation Framework for FR2-2 Indoor Short-Range Communication

3GPP-Compatible Channel Generation Framework for FR2-2 Indoor Short-Range Communication

THz Channel Sounding and Modeling Techniques: An Overview

Geodesic Path Model for Indoor Propagation Loss Prediction of Narrowband Channels

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