Radio propagation modeling for 5G mobile and wireless communications

Medbo, Jonas; Kyösti, Pekka; Kusume, Katsutoshi; Raschkowski, Leszek; Haneda, Katsuyuki; Jämsä, Tommi; Nurmela, Vuokko; Roivainen, Antti; Meinilä, Juha

doi:10.1109/mcom.2016.7498102

Cited by 76 publications

(45 citation statements)

References 7 publications

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“…These simulated results are in agreement with previous works [15,16,22,32,43,44] which indicate that the path loss is best modeled by a log-distance relationship.…”

Section: International Journal Of Antennas and Propagationsupporting

confidence: 91%

Channel Measurements and Modeling at 6 GHz in the Tunnel Environments for 5G Wireless Systems

Liu

Lin

et al. 2017

International Journal of Antennas and Propagation

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Propagation measurements of wireless channels performed in the tunnel environments at 6 GHz are presented in this paper. Propagation characteristics are simulated and analyzed based on the method of shooting and bouncing ray tracing/image (SBR/IM). A good agreement is achieved between the measured results and simulated results, so the correctness of SBR/IM method has been validated. The measured results and simulated results are analyzed in terms of path loss models, received power, root mean square (RMS) delay spread, Ricean K-factor, and angle of arrival (AOA). The omnidirectional path loss models are characterized based on close-in (CI) free-space reference distance model and the alpha-beta-gamma (ABG) model. Path loss exponents (PLEs) are 1.50-1.74 in line-of-sight (LOS) scenarios and 2.18-2.20 in non-line-of-sight (NLOS) scenarios. Results show that CI model with the reference distance of 1 m provides more accuracy and stability in tunnel scenarios. The RMS delay spread values vary between 2.77 ns and 18.76 ns. Specially, the Poisson distribution best fits the measured data of RMS delay spreads for LOS scenarios and the Gaussian distribution best fits the measured data of RMS delay spreads for NLOS scenarios. Moreover, the normal distribution provides good fits to the Ricean K-factor. The analysis of the abovementioned results from channel measurements and simulations may be utilized for the design of wireless communications of future 5G radio systems at 6 GHz.

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“…These simulated results are in agreement with previous works [15,16,22,32,43,44] which indicate that the path loss is best modeled by a log-distance relationship.…”

Section: International Journal Of Antennas and Propagationsupporting

confidence: 91%

Channel Measurements and Modeling at 6 GHz in the Tunnel Environments for 5G Wireless Systems

Liu

Lin

et al. 2017

International Journal of Antennas and Propagation

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“…The first is a radio wave propagation model for the system simulator which is necessary for 5G system and area design [58] [59]. Especially, models for higher frequency bands and narrow antenna beam are important subjects.…”

Section: Expectation For Antennas and Propagationmentioning

confidence: 99%

Real Challenge of Mobile Networks Toward 5G — An Expectation for Antennas & Propagation —

Watanabe

2019

IEICE Trans. Commun.

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“…This paper extends the work [20], with the following three-fold major advances. to the already-reported wideband characteristics; and finally, 3) Establishing a site-specific geometry-based stochastic channel model (GSCM) in a similar spirit as [21], [22], as a versatile tool to reproduce the SI channel over spatial, temporal, delay and polarisation domains jointly.…”

Section: Introductionmentioning

confidence: 99%

Geometry-Based Modeling of Self-Interference Channels for Outdoor Scenarios

Venkatasubramanian

Zhang

Laughlin

et al. 2019

IEEE Trans. Antennas Propagat.

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In-band full-duplex (IBFD) transmission has the potential to nearly double the throughput by improving the spectral efficiency. The main bottleneck is the self-interference (SI) at the transceiver due its own transmission, which can suppress the desired signal. Compact on-frequency repeaters are suitable candidates for initial implementation of IBFD, where, the design and evaluation of SI cancellation techniques require realistic SI channel models. In this article, we characterise measured MIMO SI channels as a two-dimensional site-specific geometrybased stochastic channel model (GSCM), including smooth walls causing specular reflections, diffuse scatterers along the smooth walls, and mobile scatterers like pedestrians and vehicles. The model provides delay, angular and polarimetric characteristics of the MIMO SI channels, and is validated by comparing the measured and simulated channels in delay, Doppler and spatial domains.

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Radio propagation modeling for 5G mobile and wireless communications

Cited by 76 publications

References 7 publications

Channel Measurements and Modeling at 6 GHz in the Tunnel Environments for 5G Wireless Systems

Channel Measurements and Modeling at 6 GHz in the Tunnel Environments for 5G Wireless Systems

Real Challenge of Mobile Networks Toward 5G — An Expectation for Antennas & Propagation —

Geometry-Based Modeling of Self-Interference Channels for Outdoor Scenarios

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