Vehicle-to-vehicle radio channel characterization in urban environment at 2.3 GHz and 5.25 GHz

Roivainen, Antti; Jayasinghe, Praneeth; Meinilau, Juha; Hovinen, Veikkò; Latva-aho, Matti

doi:10.1109/pimrc.2014.7136133

Cited by 30 publications

(16 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While the nonstationary features of multipath wireless channels have been a subject of analysis since the early days of the mobile radio communications (e.g., see [4,9]), the modeling of such nonstationarities has predominantly been addressed from a large-scale propagation perspective. Measured data obtained independently in [10][11][12] demonstrates that the nonstationary characteristics of V2V channels are also meaningful at a small-scale level.…”

Section: Introductionmentioning

confidence: 89%

Modeling of Non-WSSUS Double-Rayleigh Fading Channels for Vehicular Communications

Gutiérrez

Jaime-Rodriguez

Rivera

et al. 2017

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

This paper deals with the modeling of nonstationary time-frequency (TF) dispersive multipath fading channels for vehicle-tovehicle (V2V) communication systems. As a main contribution, the paper presents a novel geometry-based statistical channel model that facilitates the analysis of the nonstationarities of V2V fading channels arising at a small-scale level due to the timevarying nature of the propagation delays. This new geometrical channel model has been formulated following the principles of plane wave propagation (PWP) and assuming that the transmitted signal reaches the receiver antenna through double interactions with multiple interfering objects (IOs) randomly located in the propagation area. As a consequence of such interactions, the firstorder statistics of the channel model's envelope are shown to follow a worse-than-Rayleigh distribution; specifically, they follow a double-Rayleigh distribution. General expressions are derived for the envelope and phase distributions, four-dimensional (4D) TF correlation function (TF-CF), and TF-dependent delay and Doppler profiles of the proposed channel model. Such expressions are valid regardless of the underlying geometry of the propagation area. Furthermore, a closed-form solution of the 4D TF-CF is presented for the particular case of the geometrical two-ring scattering model. The obtained results provide new theoretical insights into the correlation and spectral properties of small-scale nonstationary V2V double-Rayleigh fading channels.

show abstract

Section: Introductionmentioning

confidence: 89%

Modeling of Non-WSSUS Double-Rayleigh Fading Channels for Vehicular Communications

Gutiérrez

Jaime-Rodriguez

Rivera

et al. 2017

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The assumption of timeinvariant delays is necessary to fulfill the WSSUS condition. Nevertheless, this assumption imposes an important limitation, as it does not allow characterizing the delay drift of non-WSSUS channels that has been observed from measurements [6], [16]. Moreover, in spite of the fact that the propagation delay is characterized in (26) with respect to a time-independent path length, the phase shifts ϑ T ℓ (t) and ϑ R ℓ (t) are modeled in (24) and (25) by considering plane waves that travel over paths whose lengths vary in time (as required to incorporate the Doppler shift effect into the channel model).…”

Section: The Proposed Geometrical Pwp Model Formentioning

confidence: 99%

“…Measured data collected for these systems show that the wide-sense stationary uncorrelated scattering (WSSUS) assumption, often invoked to characterize TF dispersive multipath fading channels, is only valid over limited and rather short time and frequency intervals [5], [6]. Aiming to analytically characterize such empirical findings, several different geometry-based statistical models (GBSMs) for non-WSSUS mobile-to-mobile (M2M) fading channels have been proposed in recent years, e.g., in [7]- [9].…”

mentioning

confidence: 99%

Geometry-Based Statistical Modeling of Non-WSSUS Mobile-to-Mobile Rayleigh Fading Channels

Gutiérrez

Gutierrez-Mena

Rivera

et al. 2018

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Abstract-In this paper, we present a novel geometry-based statistical model (GBSM) for small-scale non-wide-sense stationary uncorrelated scattering (non-WSSUS) mobile-to-mobile (M2M) Rayleigh fading channels. The proposed model builds on the principles of plane wave propagation (PWP) to capture the temporal evolution of the propagation delay and Doppler shift of the received multipath signal. This is different from existing non-WSSUS geometry-based statistical channel models, which are based on a spherical wave propagation (SWP) approach, that in spite of being more realistic, is more mathematically intricate. By considering an arbitrary geometrical configuration of the propagation area, we derive general expressions for the most important statistical quantities of nonstationary channels, such as the first-order probability density functions (PDFs) of the envelope and phase, the four-dimensional (4D) time-frequency correlation function (TF-CF), local scattering function (LSF), and time-frequency (TF) dependent delay and Doppler profiles. We also present an approximate closed-form expression of the channel's 4D TF-CF for the particular case of the geometrical one-ring scattering model. The obtained results provide new theoretical insights into the correlation and spectral properties of non-WSSUS M2M Rayleigh fading channels.

show abstract

“…Path loss and shadowing characteristics of the LOS links are shown in Fig. 5 (right) for both the simulation scenario and corresponding measurements in the city of Oulu, which were conducted by University of Oulu and are reported in [10,14]. The antenna heights are 2.5 and 1.6 m at the different link ends.…”

Section: Metis Model (I): Map-based Modelmentioning

confidence: 99%

Radio propagation modeling for 5G mobile and wireless communications

et al. 2016

Self Cite

View full text Add to dashboard Cite

This article first identifies requirements of 5G radio propagation models for relevant propagation scenarios and link types derived from the analysis of recently discussed 5G visions and respective 5G technology trends. A literature survey reveals that none of the state-of-the-art propagation models such as WINNER/IMT-Advanced, COST 2100, and IEEE 802.11 fully satisfies the model requirements without significant extensions, and therefore there is room for a new framework of propagation models. We then present a novel map-based propagation model that satisfies the model requirements, and also introduce new extensions to existing stochastic models. Several open issues are finally identified that require further studies in 5G propagation modeling

show abstract

Vehicle-to-vehicle radio channel characterization in urban environment at 2.3 GHz and 5.25 GHz

Cited by 30 publications

References 13 publications

Modeling of Non-WSSUS Double-Rayleigh Fading Channels for Vehicular Communications

Modeling of Non-WSSUS Double-Rayleigh Fading Channels for Vehicular Communications

Geometry-Based Statistical Modeling of Non-WSSUS Mobile-to-Mobile Rayleigh Fading Channels

Radio propagation modeling for 5G mobile and wireless communications

Contact Info

Product

Resources

About