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2020 | Buch

Overview of Vehicle-to-Vehicle Channel Modeling in 5G Mobile Systems Kapitel lesen Erstes Kapitel lesen

Channel Modeling in 5G Wireless Communication Systems

verfasst von: Hao Jiang, Prof. Guan Gui

Verlag: Springer International Publishing

Buchreihe : Wireless Networks

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book addresses the fundamental design and technical challenges for fifth generation (5G) wireless channel models, including multi-frequency bands and multi-scenarios. The book presents a strong vision for 5G wireless communication networks based on current market trends, proven technologies, and future directions. The book helps enable researchers and industry professionals to come up with novel ideas in the area of wireless heterogeneity, to minimize traffic accidents, to improve traffic efficiency, and to foster the development of new applications such as mobile infotainment. The book acts as a comprehensive reference for students, instructors, researchers, engineers, and other professionals, building their understanding of 5G and in designing 5G systems.

Addresses fundamental design and technical challenges for 5G wireless channel models;Presents how to create reliable statistical channel models to capture the propagation properties between transmitters and receivers;Pertinent to researchers, engineers, and professionals in 5G.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Overview of Vehicle-to-Vehicle Channel Modeling in 5G Mobile Systems
Abstract
Vehicular communications can be characterized by dynamic scenarios and relatively low antenna heights of mobile transmitters (MTs) and mobile receivers (MRs). In recent years, research on vehicle-to-vehicle (V2V) communications, which mainly focused on channel models and measurements, has been widely developed over 5G communication systems. This paper presents an overview of current practices in V2V channel modeling, investigate the channel characteristics, including spatial correlation functions (CFs) and Doppler power spectrum densities (PSDs). Moreover, we compare V2V channel models with conventional fixed-to-mobile (F2M) cellular channel models to determine their fundamental distinctions. Then, recent developments on V2V channel models for 5G systems are discussed.
Hao Jiang, Guan Gui
Chapter 2. Geometry-Based Statistical MIMO Channel Modeling
Abstract
To test an adaptive array algorithm in cellular communications, we developed a geometry-based statistical channel model for radio propagation environments, which provides the statistics of the angle of arrival and time of arrival of the multipath components. This channel model assumes that each multipath component of the propagating signal undergoes only one bounce traveling from the transmitter to the receiver and that scattering objects are located according to Gaussian and exponential spatial distributions, and a new scatterer distribution is proposed as a trade-off between the outdoor and the indoor propagation environments. Using the channel model, we analyze the effects of directional antennas at the base station on the Doppler spectrum of a mobile station due to its motion and the performance of its MIMO systems.
Hao Jiang, Guan Gui
Chapter 3. 3D Scattering Channel Modeling for Microcell Communication Environments
Abstract
The development of realistic channel models that can efficiently and accurately describe a wireless propagation channel is a key research area. In this study, a generalized 3D scattering channel model for land mobile systems is proposed to simultaneously describe the angular arrival of multipath signals in the azimuth and elevation planes. The model considers a base station located at the center of a 3D semi-spheroid-shaped scattering region and an MS located within the region. Using this channel model, the authors first derive the closed-form expression for the joint and marginal probability density functions of the angle of arrival and time of arrival measured at the MS corresponding to the azimuth and elevation angles. Next, they derive an expression for the Doppler spectra distribution due to the motion of the MSs. Furthermore, they analyze the performance of MIMO antenna systems and their numerical results. The results show that the proposed 3D scattering channel model performs better compared with previously proposed 2D models for outdoor and indoor environments. They compare the results with previous scattering channel models and measurement results to validate the generalization of their model.
Hao Jiang, Guan Gui
Chapter 4. Multi-Bounced Virtual Scattering Channel Model for Dense Urban Street Environments
Abstract
This chapter presents a generalized visual scattering channel model for car-to-car mobile radio environments, in which an asymmetric directional antenna is deployed at the MT. The signals received at the MR from the MT are assumed to experience multi-bounced propagation paths. More importantly, the proposed model first separates the multi-bounced propagation paths into odd- and even-numbered-bounced propagation conditions. General formulations of the marginal probability density functions of the angle of departure at the transmitter and the angle of arrival at the receiver have been derived for the given two conditions, respectively. From the proposed model, we derive an expression for the Doppler frequency due to the relative motion between the MT and the MR, which broadens the research of the proposed visual street scattering channel model. The results show that the proposed model can fit those of the previous scattering channel models and the measurement results for dense urban street environments very well, which validate the generalization of the proposed virtual street channel model.
Hao Jiang, Guan Gui
Chapter 5. A 3D Massive MIMO Channel Model for Vehicle-to-Vehicle Communication Environments
Abstract
This chapter presents 3-D vehicle massive MIMO antenna array model for V2V communication environments. A spherical wavefront is assumed in the proposed model instead of the plane wavefront assumption used in the conventional MIMO channel model. Using the proposed V2V channel model, we first derive the closed-form expressions for the joint and marginal probability density functions of the angle of departure at the transmitter and angle of arrival at the receiver in the azimuth and elevation planes. We additionally analyze the time and frequency cross-correlation functions for different propagation paths. In the proposed model, we derive the expression of the Doppler spectrum due to the relative motion between the mobile transmitter and mobile receiver. The results show that the proposed 3-D channel model is in close agreement with previously reported results, thereby validating the generalization of the proposed model.
Hao Jiang, Guan Gui
Chapter 6. A 3D Non-stationaryWideband Channel Model for MIMO V2V Tunnel Communications
Abstract
In this chapter, we present a 3-D wideband geometry-based channel model for MIMO V2V communication in tunnel environments. We introduce a two-cylinder model to describe moving vehicles, as well as multiple confocal semi-ellipsoid models to depict internal surfaces of tunnel walls. The received signal is constructed as a sum of direct line-of-sight propagations, rays with single and double interactions. The movement between the mobile transmitter and mobile receiver results in time-varying geometric statistics that make our channel model non-stationary. Using this channel model, the proposed channel characteristics are studied for different V2V scenarios. The numerical results demonstrate that the proposed 3-D non-wide-sense stationary (WSS) wideband channel model is practical for characterizing real V2V channels.
Hao Jiang, Guan Gui
Chapter 7. An Estimated Wideband V2V Channel Model Using an AoD/AoA Estimation Algorithm
Abstract
In this chapter, we propose an estimated wideband geometry-based channel model for V2V communication environments, which is based on an AoD and AoA estimation algorithm, to determine the ellipse scattering region and to efficiently study the V2V channel characteristics for different propagation delays, i.e., per-tap channel statistics. In the first stage, we estimate the AoD and AoA for the first tap. In this case, the ellipse scattering region for the first tap can be determined. Then, we estimate the ellipse channel models for other taps based on the estimated model parameters for the first tap. Furthermore, the spatial cross-correlation functions are derived and thoroughly investigated for different propagation delays. Excellent agreement is achieved between the proposed channel statistics and prior results and measurements.
Hao Jiang, Guan Gui
Chapter 8. 3D Non-stationary Wideband UAV Channel Model for A2G Communications
Abstract
In this chapter, we propose a novel 3D MIMO channel model to describe the air-to-ground (A2G) communication environments. The model introduces the unmanned aerial vehicle (UAV) transmitter and ground MR located at the foci points of the boundary ellipsoid, while different ellipsoids represent the propagation properties for different time delays. In light of this, we are able to investigate the propagation properties of the A2G channel model for different time delays. Furthermore, the time-varying parameters of azimuth angle of departure (AAoD), elevation angle of departure (EAoD), azimuth angle of arrival (AAoA), and elevation angle of arrival (EAoA) are derived to properly describe the channel non-stationarity, which is caused by the motion of the UAV transmitter, cluster, and MR. The impacts of the movement properties of the cluster in both the azimuth and elevation planes are investigated on the channel characteristics, i.e., spatial cross-correlation functions (CCFs), temporal autocorrelation functions (ACFs), Doppler power spectrum density (PSD), and power delay profiles (PDPs).
Hao Jiang, Guan Gui
Chapter 9. Summary
Abstract
In this chapter, we present a summary of main ideas of this book and discuss the future research directions about 5G channel modeling.
Hao Jiang, Guan Gui
Backmatter
Metadaten
Titel
Channel Modeling in 5G Wireless Communication Systems
verfasst von
Hao Jiang
Prof. Guan Gui
Copyright-Jahr
2020
Electronic ISBN
978-3-030-32869-6
Print ISBN
978-3-030-32868-9
DOI
https://doi.org/10.1007/978-3-030-32869-6

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