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PUBLICATIONS

Quasi-Deterministic Channel Model for mmWave: Mathematical Formalization and Validation

Published

Author(s)

Chiehping Lai, Jian Wang, Camillo Gentile, Nada T. Golmie

Abstract

5G and beyond networks will use, for the first time, the millimeter wave (mmWave) spectrum for mobile communications. An accurate performance evaluation is fundamental for the design of reliable mmWave networks, with the accuracy depending on the fidelity of the channel models. At mmWaves, a model needs to account for the spatial characteristics of the propagation, and for the interaction of transmitted signals with the scenario. In this regard, Quasi-Deterministic (QD) models are highly accurate channel models, which characterize the propagation in terms of clusters of multipath components, given by a reflected ray and multiple diffuse components. This paper introduces a detailed mathematical formulation for QD models at mmWaves, that can be used as a reference for their implementation and development. Moreover, it compares channel instances obtained with an open source NIST QD model implementation against real measurements at 60 GHz.
Conference Dates
December 7-11, 2020
Conference Location
Taipei, TW
Conference Title
IEEE Global Communications Conference
Pub Type
Conferences

Download Paper

https://dx.doi.org/10.1109/Globecom42002.2020.9322374
Local Download

Keywords

5G, millimeter wave, channel model, 3GPP, IEEE, quasi deterministic
Wireless (RF), Protocol design and standardization, Next generation networks, Network modeling and analysis, Modeling and simulation research and Mobile and wireless networking

Citation

Lai, C. , Wang, J. , Gentile, C. and Golmie, N. (2021), Quasi-Deterministic Channel Model for mmWave: Mathematical Formalization and Validation, IEEE Global Communications Conference, Taipei, TW, [online], https://dx.doi.org/10.1109/Globecom42002.2020.9322374, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=930141 (Accessed December 17, 2024)

Issues

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Created January 24, 2021, Updated October 12, 2021