Millimeter-wave channel model parameters for urban microcellular environment based on 28 and 38 GHz measurements

Park, Jae-Joon; Liang, Jing; Lee, Juyul; Kwon, Hyoungmoon; Kim, Myung-Don; Park, Bonghyuk

doi:10.1109/pimrc.2016.7794731

Cited by 29 publications

(11 citation statements)

References 5 publications

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“…The quality of the prediction is on average similar to the other frequency, and the contribution of diffuse scattering is equally—if not more—decisive. This is in agreement with previous studies that found propagation at the two very same frequencies to show very similar characteristics (Park et al, ). Tables and summarize the prediction errors in Tangfei Scenario for both frequencies, when scattering is included (Table ) and not included (Table ) in the ray‐tracing tool.…”

Section: Measurement and Simulation Resultssupporting

confidence: 94%

“…Considerable effort has been spent in recent years in the characterization of mm‐wave propagation, both in indoor (Ai et al, ; Fuschini et al, ; Inomata, Imai, et al, ; Inomata, Sasaki, et al, ; Cheng et al, ; Huang et al, ; Nielsen & Pedersen, ; Karstensen et al, ) and in outdoor scenarios (Rappaport, Xing, et al, ; Sun et al, ; Weiler et al, ; Rappaport, MacCartney, et al, ; Rappaport et al, ; Leonor et al, ; Solomitckii et al, ; Zhong et al, ; Park et al, ; Hur et al, ). Among the latter, some papers are comprehensive surveys on mm‐wave communications (Rappaport, Xing, et al, ) or on mm‐wave propagation models for 5G systems (Rappaport et al, ); others deal with narrowband path‐loss or shadowing models (Rappaport, MacCartney, et al, ; Weiler et al, ) or with wideband mm‐wave models (Rappaport et al, ; Hur et al, ; Park et al, ). Very few papers address peculiar characteristic of outdoor mm‐wave propagation such as the effect of vegetation and of diffuse scattering and their modeling in ray‐tracing (RT) tools (Solomitckii et al, ; Leonor et al, ; Mani et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Tuning Ray Tracing for Mm‐wave Coverage Prediction in Outdoor Urban Scenarios

et al. 2019

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Propagation characteristics at 26, 28, and 38 GHz (Ka band) in outdoor environments are analyzed through path loss measurements in two different urban scenarios and used to tune a ray-tracing model, with specific focus on nonspecular scattering and vegetation attenuation.The contribution from nonspecular components in non-line-of-sight conditions is shown to be much more important than expected even for narrowband prediction, differently to what was found in previous studies at lower frequencies. Attenuation through vegetation is also very important and can be described using vegetation polygons and a simple linear attenuation model. When these effects are modeled inside the ray-tracing tool, prediction accuracy is good. However, scattering from vehicles and other cluttering objects is shown to give a relevant contribution in deep non-line-of-sight locations, and further work is needed to systematically model such effects into the ray-tracing engine.

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Section: Measurement and Simulation Resultssupporting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Tuning Ray Tracing for Mm‐wave Coverage Prediction in Outdoor Urban Scenarios

et al. 2019

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“…The results proved, explicitly, that accounting for the number of beams (or discrete angles) combined at the Rx could result in receiving a strong signal power. An approach in [59] studied the urban microcell wideband measurement at 28 and 38 GHz by using a channel sounder equipped with an omnidirectional and steerable directional antenna. This study characterized various small-and large-scale parameters, such as angular speed, shadow fading, delay spread path loss, and clustering, in order to determine the potential of mmWave frequencies.…”

Section: Related Workmentioning

confidence: 99%

Investigation of Future 5G-IoT Millimeter-Wave Network Performance at 38 GHz for Urban Microcell Outdoor Environment

et al. 2019

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The advent of fifth-generation (5G) systems and their mechanics have introduced an unconventional frequency spectrum of high bandwidth with most falling under the millimeter wave (mmWave) spectrum. The benefit of adopting these bands of the frequency spectrum is two-fold. First, most of these bands appear to be unutilized and they are free, thus suggesting the absence of interference from other technologies. Second, the availability of a larger bandwidth offers higher data rates for all users, as there are higher numbers of users who are connected in a small geographical area, which is also stated as the Internet of Things (IoT). Nevertheless, high-frequency band poses several challenges in terms of coverage area limitations, signal attenuation, path and penetration losses, as well as scattering. Additionally, mmWave signal bands are susceptible to blockage from buildings and other structures, particularly in higher-density urban areas. Identifying the channel performance at a given frequency is indeed necessary to optimize communication efficiency between the transmitter and receiver. Therefore, this paper investigated the potential ability of mmWave path loss models, such as floating intercept (FI) and close-in (CI), based on real measurements gathered from urban microcell outdoor environments at 38 GHz conducted at the Universiti Teknologi Malaysia (UTM), Kuala Lumpur campus. The measurement data were obtained by using a narrow band mmWave channel sounder equipped with a steerable direction horn antenna. It investigated the potential of the network for outdoor scenarios of line-of-sight (LOS) and non-line-of-sight (NLOS) with both schemes of co-(vertical-vertical) and cross (vertical-horizontal) polarization. The parameters were selected to reflect the performance and the variances with other schemes, such as average users cell throughput, throughput of users that are at cell-edges, fairness index, and spectral efficiency. The outcomes were examined for various antenna configurations as well as at different channel bandwidths to prove the enhancement of overall network performance. This work showed that the CI path loss model predicted greater network performance for the LOS condition, and also estimated significant outcomes for the NLOS environment. The outputs proved that the FI path loss model, particularly for V-V antenna polarization, gave system simulation results that were unsuitable for the NLOS scenario. IntroductionIn a 5G communication network, mobile operators are forced to use a high-frequency spectrum due to the limited amount of channel bandwidth. The 5G boosts the overall performance and enhances user experience offered by the present generation mobile technologies. Some of the most hyped features include higher data-rates, lower end-to-end delays, and minimal energy consumption [1]. In order to meet a common goal, several technologies need to be implemented in a fashion that allows the smooth operation of the overall network as a singular body. Nevertheless, vast technologies and communication...

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“…Refs. [8] and [9] provide results in various cities in Korea, while [10] reports channel measurements conducted at 32 GHz on a University campus in Beijing, China. All these environments are densely built up, with highrise buildings (≥ 5 floors and/or contiguous facades).…”

Section: Introductionmentioning

confidence: 99%

28 GHz Microcell Measurement Campaign for Residential Environment

Bas

Wang

Sangodoyin

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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This paper presents results from the (to our knowledge) first double-directionally resolved measurement campaign at mm-wave frequencies in a suburban microcell. The measurements are performed with a real-time channel sounder equipped with phased antenna arrays that allows electrical beam steering in microseconds, and which can measure path-loss of up to 169 dB. Exploiting the phase coherency of the measurements in the different beams, we obtain both directional and omnidirectional channel power delay profiles without any delay uncertainty. We present statistics of channel characteristics such as path-loss, shadowing and delay spread results for line-of-sight and nonline-of-sight cases, as well as sample results for power angular spectrum and extracted multi-path components.

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Millimeter-wave channel model parameters for urban microcellular environment based on 28 and 38 GHz measurements

Cited by 29 publications

References 5 publications

Tuning Ray Tracing for Mm‐wave Coverage Prediction in Outdoor Urban Scenarios

Tuning Ray Tracing for Mm‐wave Coverage Prediction in Outdoor Urban Scenarios

Investigation of Future 5G-IoT Millimeter-Wave Network Performance at 38 GHz for Urban Microcell Outdoor Environment

28 GHz Microcell Measurement Campaign for Residential Environment

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