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Simulating Motion - Incorporating Spatial Consistency into the NYUSIM Channel Model
Shihao Ju,Theodore S. Rappaport +1 more
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In this paper, the authors describe an implementation of spatial consistency in the NYUSIM channel simulation platform, which is a mmWave channel simulator that realizes measurement-based channel models based on a wide range of multipath channel parameters, including realistic multipath time delays and multipath components.Abstract:
This paper describes an implementation of spatial consistency in the NYUSIM channel simulation platform. NYUSIM is a millimeter wave (mmWave) channel simulator that realizes measurement-based channel models based on a wide range of multipath channel parameters, including realistic multipath time delays and multipath components that arrive at different 3-D angles in space, and generates life-like samples of channel impulse responses (CIRs) that statistically match those measured in the real world. To properly simulate channel impairments and variations for adaptive antenna algorithms or channel state feedback, channel models should implement spatial consistency which ensures correlated channel responses over short time and distance epochs. The ability to incorporate spatial consistency into channel simulators will be essential to explore the ability to train and deploy massive multiple-input and multiple-output (MIMO) and multi-user beamforming in next-generation mobile communication systems. This paper reviews existing modeling approaches to spatial consistency, and describes an implementation of spatial consistency in NYUSIM for when a user is moving in a square area having a side length of 15 m. The spatial consistency extension will enable NYUSIM to generate realistic evolutions of temporal and spatial characteristics of the wideband CIRs for mobile users in motion, or for multiple users who are relatively close to one another.read more
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Propagation Measurement System and Approach at 140 GHz-Moving to 6G and Above 100 GHz
TL;DR: In this paper, the authors summarized wireless communication research and activities above 100 GHz, overviews the results of previously published propagation measurements at D-band (110-170 GHz), provides the design of a 140 GHz wideband channel sounder system, and proposes indoor wideband propagation measurements and penetration measurements for common materials at 140 GHz which were not previously investigated.
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A Millimeter-Wave Channel Simulator NYUSIM with Spatial Consistency and Human Blockage
TL;DR: NYUSIM 2.0 is presented, an improved channel simulator which can simulate spatially consistent channel realizations based on the existing drop-based channel simulator NYUSIM 1.6.1, making it a valuable measurement- based channel simulator for fifth-generation and beyond mmWave communication system design and evaluation.
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Millimeter-wave Extended NYUSIM Channel Model for Spatial Consistency
Shihao Ju,Theodore S. Rappaport +1 more
TL;DR: In this article, the authors present a channel model extension and an associated implementation of spatial consistency in the NYUSIM channel simulation platform, along with measurements where the user moved along a street and turned at a corner over a path length of 75 m in order to derive realistic values of several key parameters such as correlation distance and the rate of cluster birth and death.
References
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Journal ArticleDOI
Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!
Theodore S. Rappaport,Shu Sun,Rimma Mayzus,Hang Zhao,Yaniv Azar,Kevin H. Wang,George N. Wong,Jocelyn K. Schulz,Mathew K. Samimi,Felix Gutierrez +9 more
TL;DR: The motivation for new mm-wave cellular systems, methodology, and hardware for measurements are presented and a variety of measurement results are offered that show 28 and 38 GHz frequencies can be used when employing steerable directional antennas at base stations and mobile devices.
Book ChapterDOI
WINNER II Channel Models
TL;DR: In this article, the authors present an introduction to channel models and channel models, and a discussion of channel model usage and models and models' models' parameters. But this chapter contains sections titled: Introduction Modelling Considerations Channel Modelling Approach Channel Models and Parameters Channel Model Usage Conclusion
Journal ArticleDOI
3-D Millimeter-Wave Statistical Channel Model for 5G Wireless System Design
TL;DR: A 3GPP-like stochastic IR channel model is developed from measured power delay profiles, angle of departure, and angle of arrival power spectra, supporting air interface design of mmWave transceivers, filters, and multi-element antenna arrays.
Journal ArticleDOI
The COST 2100 MIMO channel model
Lingfeng Liu,Claude Oestges,Juho Poutanen,Katsuyuki Haneda,Pertti Vainikainen,Francois Quitin,Fredrik Tufvesson,Philippe De Doncker +7 more
TL;DR: The COST 2100 channel model is a geometry-based stochastic channel model (GSCM) that can reproduce MIMO channels over time, frequency, and space as mentioned in this paper.
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Statistical channel impulse response models for factory and open plan building radio communicate system design
TL;DR: Statistical radio channel impulse response models are presented for the analysis and design of wireless factory and open plan office communication systems and large-scale models for path loss are implicitly included in this work.
Related Papers (5)
Simulating Motion - Incorporating Spatial Consistency into NYUSIM Channel Model
Shihao Ju,Theodore S. Rappaport +1 more
Millimeter-Wave Extended NYUSIM Channel Model for Spatial Consistency
Shihao Ju,Theodore S. Rappaport +1 more